Bing Qin

584 papers A* 74A 5B 24C 1Misc 6Journal 314Unranked 156
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comparative Study of Multi-Step Forecasting Algorithms for Real-Time Load Profiling in Smelting Plant Electricity Demand.
IEEE Access
Samrawit Bzayene Fesseha, Bin Li, Bing Qin, Songsong Chen, Feixiang Gong
2026 J jnl
APSam: An Aggregating-Then-Pruning Sampler for Question-Conditional Denoising.
IEEE Trans. Circuits Syst. Video Technol.
Jiafeng Liang, Shixin Jiang, Wei Tang, Ning Wang, Zekun Wang, Xun Mao, Kai Lv, Ming Liu, Bing Qin
2026 J jnl
Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts.
CoRR
Zhihao Zhu, Jiafeng Liang, Shixin Jiang, Jinlan Fu, Ming Liu, Guanglu Sun, See-Kiong Ng, Bing Qin
2026 J jnl
ArcAligner: Adaptive Recursive Aligner for Compressed Context Embeddings in RAG.
CoRR
Jianbo Li, Yi Jiang, Sendong Zhao, Bairui Hu, Haochun Wang, Bing Qin
2026 J jnl
AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints.
CoRR
Yirong Zeng, Xiao Ding, Yufei Liu, Yuxian Wang, Qunyao Du, Yutai Hou, Wu Ning, Haonan Song, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu
2026 A* conf
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations.
WWW
Zerui Chen, Heng Chang, Tianying Liu, Chuantian Zhou, Yi Cao, Jiandong Ding, Ming Liu, Bing Qin
2026 J jnl
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations.
CoRR
Zerui Chen, Heng Chang, Tianying Liu, Chuantian Zhou, Yi Cao, Jiandong Ding, Ming Liu, Bing Qin
2026 J jnl
Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning.
CoRR
Lei Huang, Xiang Cheng, Chenxiao Zhao, Guobin Shen, Junjie Yang, Xiaocheng Feng, Yuxuan Gu, Xing Yu, Bing Qin
2026 A* conf
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling.
AAAI
Bichen Wang, Yixin Sun, Junzhe Wang, Hao Yang, Xing Fu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin
2026 J jnl
CE-GOCD: Central Entity-Guided Graph Optimization for Community Detection to Augment LLM Scientific Question Answering.
CoRR
Jiayin Lan, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin, Guoping Hu
2026 J jnl
Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?
CoRR
Yuxuan Gu, Lunjun Liu, Xiaocheng Feng, Kun Zhu, Weihong Zhong, Lei Huang, Bing Qin
2026 J jnl
ConflictBench: Evaluating Human-AI Conflict via Interactive and Visually Grounded Environments.
CoRR
Weixiang Zhao, Haozhen Li, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Bing Qin, Ting Liu
2026 J jnl
Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration.
CoRR
Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2026 A* conf
CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning.
AAAI
Weixiang Zhao, Haozhen Li, Yanyan Zhao, Haixiao Liu, Biye Li, Ting Liu, Bing Qin
2026 J jnl
DeepSight: Bridging Depth Maps and Language with a Depth-Driven Multimodal Model.
CoRR
Hao Yang, Hongbo Zhang, Yanyan Zhao, Bing Qin
2026 J jnl
English is not all you need: Rewarding better translation to inspire multilingual capability in LLMs.
Neurocomputing
Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin
2026 J jnl
Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management.
CoRR
Weitao Ma, Xiaocheng Feng, Lei Huang, Xiachong Feng, Zhanyu Ma, Jun Xu, Jiuchong Gao, Jinghua Hao, Renqing He, Bing Qin
2026 J jnl
From Latent Signals to Reflection Behavior: Tracing Meta-Cognitive Activation Trajectory in R1-Style LLMs.
CoRR
Yanrui Du, Yibo Gao, Sendong Zhao, Jiayun Li, Haochun Wang, Qika Lin, Kai He, Bing Qin, Mengling Feng
2026 J jnl
GSEM: Graph-based Self-Evolving Memory for Experience Augmented Clinical Reasoning.
CoRR
Xiao Han, Yuzheng Fan, Sendong Zhao, Haochun Wang, Bing Qin
2026 J jnl
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models.
CoRR
Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin
2026 J jnl
Human cognitive process aligned rumor detection with small language models enhanced large language models.
Inf. Process. Manag.
Yirong Zeng, Xiao Ding, Bibo Cai, Bing Qin, Ting Liu
2026 A* conf
LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning.
AAAI
Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin
2026 J jnl
Large Language Model Agents Are Not Always Faithful Self-Evolvers.
CoRR
Weixiang Zhao, Yingshuo Wang, Yichen Zhang, Yang Deng, Yanyan Zhao, Wanxiang Che, Bing Qin, Ting Liu
2026 J jnl
LoopRPT: Reinforcement Pre-Training for Looped Language Models.
CoRR
Guo Tang, Shixin Jiang, Heng Chang, Nuo Chen, Yuhan Li, Huiming Fan, Jia Li, Ming Liu, Bing Qin
2026 J jnl
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization.
CoRR
Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2026 J jnl
MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus.
CoRR
Yexing Du, Kaiyuan Liu, Bihe Zhang, Youcheng Pan, Bo Yang, Liangyu Huo, Xiyuan Zhang, Jian Xie, Daojing He, Yang Xiang, Ming Liu, Bing Qin
2026 J jnl
Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs.
Neural Networks
Peng Wang, Xiao Ding, Kai Xiong, Bing Qin, Ting Liu
2026 J jnl
OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents.
CoRR
Yulin Hu, Zimo Long, Jiahe Guo, Xingyu Sui, Xing Fu, Weixiang Zhao, Yanyan Zhao, Bing Qin
2026 J jnl
OptiSet: Unified Optimizing Set Selection and Ranking for Retrieval-Augmented Generation.
CoRR
Yi Jiang, Sendong Zhao, Jianbo Li, Bairui Hu, Yanrui Du, Haochun Wang, Bing Qin
2026 J jnl
Orchestrating Intelligence: Confidence-Aware Routing for Efficient Multi-Agent Collaboration across Multi-Scale Models.
CoRR
Jingbo Wang, Sendong Zhao, Jiatong Liu, Haochun Wang, Wanting Li, Bing Qin, Ting Liu
2026 J jnl
PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra.
CoRR
Xiachong Feng, Liang Zhao, Weihong Zhong, Yichong Huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin
2026 J jnl
REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents.
CoRR
Zheng Chu, Xiao Wang, Jack Hong, Huiming Fan, Yuqi Huang, Yue Yang, Guohai Xu, Chenxiao Zhao, Cheng Xiang, Shengchao Hu, Dongdong Kuang, Ming Liu, Bing Qin, Xing Yu
2026 J jnl
S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs.
CoRR
Yanrui Du, Sendong Zhao, Yibo Gao, Danyang Zhao, Qika Lin, Ming Ma, Jiayun Li, Yi Jiang, Kai He, Qian Xu, Bing Qin, Mengling Feng
2026 J jnl
STAR-S: Improving Safety Alignment through Self-Taught Reasoning on Safety Rules.
CoRR
Di Wu, Yanyan Zhao, Xin Lu, Mingzhe Li, Bing Qin
2026 J jnl
Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion.
CoRR
Yexing Du, Youcheng Pan, Zekun Wang, Zheng Chu, Yichong Huang, Kaiyuan Liu, Bo Yang, Yang Xiang, Ming Liu, Bing Qin
2026 J jnl
Subgraph-Centric Multi-Agent Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng.
Tao He, Zerui Chen, Lizi Liao, Yixin Cao, Yuanxing Liu, Wei Tang, Xun Mao, Kai Lv, Ming Liu, Bing Qin
2026 J jnl
TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent.
CoRR
Xingyu Sui, Yanyan Zhao, Yulin Hu, Jiahe Guo, Weixiang Zhao, Bing Qin
2026 J jnl
The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration.
CoRR
Haoyuan Xu, Chang Li, Xinyan Ma, Xianhao Ou, Zihan Zhang, Tao He, Xiangyu Liu, Zixiang Wang, Jiafeng Liang, Zheng Chu, Runxuan Liu, Rongchuan Mu, Dandan Tu, Ming Liu, Bing Qin
2026 J jnl
The gains do not make up for the losses: a comprehensive evaluation for safety alignment of large language models via machine unlearning.
Frontiers Comput. Sci.
Weixiang Zhao, Yulin Hu, Xingyu Sui, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che
2026 A* conf
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities.
AAAI
Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Wanxiang Che, Ting Liu, Bing Qin
2026 J jnl
When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents.
CoRR
Jiahe Guo, Xiangran Guo, Yulin Hu, Zimo Long, Xingyu Sui, Xuda Zhi, Yongbo Huang, Hao He, Weixiang Zhao, Yanyan Zhao, Bing Qin
2025 A conf
A Multi-stage and Multi-target Knowledge Distillation Framework for Multimodal Conversational Emotion Recognition.
ICME
Taiyu Niu, Geng Tu, Hui Wang, Bing Qin, Ruifeng Xu
2025 J jnl
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
ACM Trans. Inf. Syst.
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu
2025 J jnl
A parental emotion coaching dialogue assistant for better parent-child interaction.
Sci. China Inf. Sci.
Weixiang Zhao, Shilong Wang, Yanpeng Tong, Xin Lu, Zhuojun Li, Yanyan Zhao, Chenxue Wang, Tian Zheng, Bing Qin
2025 J jnl
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents.
CoRR
Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin
2025 A* conf
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender.
EMNLP
Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu
2025 J jnl
AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender.
CoRR
Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu
2025 — conf
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning.
ACL (1)
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yuxuan Gu, Yangfan Ye, Liang Zhao, Weihong Zhong, Baoxin Wang, Dayong Wu, Guoping Hu, Lingpeng Kong, Tong Xiao, Ting Liu, Bing Qin
2025 — conf
AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting.
ACL (1)
Guo Tang, Zheng Chu, Wenxiang Zheng, Junjia Xiang, Yizhuo Li, Weihao Zhang, Ming Liu, Bing Qin
2025 — conf
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns.
ACL (1)
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2025 J jnl
Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint.
CoRR
Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Qika Lin, Kai He, Ting Liu, Bing Qin, Mengling Feng
2025 — conf
Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs.
NAACL (Long Papers)
Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin
2025 J jnl
Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing.
CoRR
Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Yang Zhao, Bing Qin, Ting Liu
2025 — conf
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs.
ACL (1)
Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu
2025 J jnl
Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs.
CoRR
Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu
2025 A* conf
Beyond Fixed Length: Bucket Pre-training is All You Need.
IJCAI
Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu
2025 — conf
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems.
ACL (1)
Haochun Wang, Sendong Zhao, Jingbo Wang, Zewen Qiang, Bing Qin, Ting Liu
2025 J jnl
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems.
CoRR
Haochun Wang, Sendong Zhao, Jingbo Wang, Zewen Qiang, Bing Qin, Ting Liu
2025 — conf
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
ACL (1)
Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu
2025 J jnl
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
CoRR
Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu
2025 A* conf
Beyond Snapshots: A Multimodal User-Level Dataset for Depression Detection in Dynamic Social Media Streams.
ACM Multimedia
Bichen Wang, Yixin Sun, Yanyan Zhao, Bing Qin
2025 J jnl
Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning.
CoRR
Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Wu Ning, Yutai Hou, Xu Huang, Bing Qin, Ting Liu
2025 J jnl
Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey.
IEEE Trans. Knowl. Data Eng.
Zihan Zhang, Xiao Ding, Xia Liang, Yusheng Zhou, Bing Qin, Ting Liu
2025 — conf
Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution.
ACL (Findings)
Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin
2025 Misc conf
Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering.
ICASSP
Jihao Shi, Xiao Ding, Hengwei Zhao, Ting Liu, Bing Qin
2025 J jnl
CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models.
CoRR
Qiming Li, Zekai Ye, Xiaocheng Feng, Weihong Zhong, Libo Qin, Ruihan Chen, Baohang Li, Kui Jiang, Yaowei Wang, Ting Liu, Bing Qin
2025 J jnl
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling.
CoRR
Bichen Wang, Yixin Sun, Junzhe Wang, Hao Yang, Xing Fu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin
2025 — conf
CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.
ACL (1)
Yangfan Ye, Xiaocheng Feng, Zekun Yuan, Xiachong Feng, Libo Qin, Lei Huang, Weitao Ma, Yichong Huang, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin
2025 J jnl
CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning.
CoRR
Yangfan Ye, Xiaocheng Feng, Zekun Yuan, Xiachong Feng, Libo Qin, Lei Huang, Weitao Ma, Yichong Huang, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin
2025 B conf
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
COLING
Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2025 — conf
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention.
ACL (1)
Zekai Ye, Qiming Li, Xiaocheng Feng, Libo Qin, Yichong Huang, Baohang Li, Kui Jiang, Yang Xiang, Zhirui Zhang, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin
2025 J jnl
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention.
CoRR
Zekai Ye, Qiming Li, Xiaocheng Feng, Libo Qin, Yichong Huang, Baohang Li, Kui Jiang, Yang Xiang, Zhirui Zhang, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin
2025 — conf
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter.
EMNLP (Findings)
Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu
2025 J jnl
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter.
CoRR
Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu
2025 J jnl
Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy.
CoRR
Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Lizhe Zhang, Yan Liu, Bing Qin
2025 J jnl
Com
CoRR
Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu
2025 — conf
Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.
ACL (1)
Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu
2025 A* conf
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering.
EMNLP
Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin
2025 J jnl
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering.
CoRR
Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin
2025 A* conf
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective.
AAAI
Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Duyu Tang, Dandan Tu, Bing Qin
2025 J jnl
CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer.
CoRR
Jinglong Gao, Xiao Ding, Lingxiao Zou, Bing Qin, Ting Liu
2025 — conf
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models.
ACL (1)
Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin
2025 J jnl
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models.
CoRR
Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin
2025 A* conf
End-to-End Learnable Psychiatric Scale Guided Risky Post Screening for Depression Detection on Social Media.
EMNLP
Bichen Wang, Yuzhe Zi, Yixin Sun, Hao Yang, Yanyan Zhao, Bing Qin
2025 A* conf
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning.
AAAI
Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin
2025 J jnl
Enhancing Non-English Capabilities of English-Centric Large Language Models through Deep Supervision Fine-Tuning.
CoRR
Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin
2025 A* conf
Ensuring Responses Contain Appropriate Images: Timing Judgment for Multimodal Responses.
ACM Multimedia
Hao Yang, Tian Zheng, Yanyan Zhao, Bing Qin
2025 — conf
ExpeTrans: LLMs Are Experiential Transfer Learners.
ACL (1)
Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu
2025 J jnl
ExpeTrans: LLMs Are Experiential Transfer Learners.
CoRR
Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu
2025 J jnl
Exploring & exploiting high-order graph structure for sparse knowledge graph completion.
Frontiers Comput. Sci.
Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin
2025 — conf
Exploring Large Language Models for Effective Rumor Detection on Social Media.
NAACL (Long Papers)
Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin
2025 J jnl
Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement.
CoRR
Weixiang Zhao, Jiahe Guo, Yang Deng, Xingyu Sui, Yulin Hu, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu
2025 J jnl
Final: Combining First-Order Logic With Natural Logic for Question Answering.
IEEE Trans. Knowl. Data Eng.
Jihao Shi, Xiao Ding, Siu Cheung Hui, Yuxiong Yan, Hengwei Zhao, Ting Liu, Bing Qin
2025 — conf
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging.
EMNLP (Findings)
Zijian Li, Xiaocheng Feng, Huixin Liu, Yichong Huang, Ting Liu, Bing Qin
2025 J jnl
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging.
CoRR
Zijian Li, Xiaocheng Feng, Huixin Liu, Yichong Huang, Ting Liu, Bing Qin
2025 — conf
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.
EMNLP (Findings)
Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin
2025 J jnl
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems.
CoRR
Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin
2025 — conf
From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities.
ACL (Findings)
Shixin Jiang, Jiafeng Liang, Jiyuan Wang, Xuan Dong, Heng Chang, Weijiang Yu, Jinhua Du, Ming Liu, Bing Qin
2025 J jnl
From unimodal to multimodal: a framework for generating high-quality multimodal emotional chit-chat dialogue.
Sci. China Inf. Sci.
Hao Yang, Tian Zheng, Yanyan Zhao, Yang Wu, Jianhua Yuan, Wanxiang Che, Shijin Wang, Si Wei, Bing Qin
2025 — conf
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis.
ACL (1)
Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Bing Qin
2025 J jnl
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis.
CoRR
Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Bing Qin
2025 J jnl
Generalizing to Unseen Speakers: Multimodal Emotion Recognition in Conversations With Speaker Generalization.
IEEE Trans. Affect. Comput.
Geng Tu, Ran Jing, Bin Liang, Yue Yu, Min Yang, Bing Qin, Ruifeng Xu
2025 J jnl
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner.
CoRR
Tao He, Rongchuan Mu, Lizi Liao, Yixin Cao, Ming Liu, Bing Qin
2025 B conf
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models.
COLING
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2025 — conf
HIT-SCIR@eRisk2025: Exploring the Potential of a Learnable Screening Model and Risk Post Buffer-Based Framework for Contextualized Early Prediction of Depression on Social Media.
CLEF (Working Notes)
Yuzhe Zi, Bichen Wang, Yanyan Zhao, Bing Qin
2025 J jnl
How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation.
CoRR
Xin Lu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin, Ting Liu
2025 A* conf
How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future.
EMNLP
Zerui Chen, Huiming Fan, Qianyu Wang, Tao He, Ming Liu, Heng Chang, Weijiang Yu, Ze Li, Bing Qin
2025 A* conf
Improved Diffusion-based Generative Model with Better Adversarial Robustness.
ICLR
Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma
2025 J jnl
Improved Diffusion-based Generative Model with Better Adversarial Robustness.
CoRR
Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma
2025 — conf
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.
ACL (1)
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin
2025 J jnl
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization.
CoRR
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yangfan Ye, Weihong Zhong, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Bing Qin
2025 J jnl
Improving cross-task generalization with step-by-step instructions.
Sci. China Inf. Sci.
Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong
2025 J jnl
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models.
CoRR
Zhouhao Sun, Xiao Ding, Li Du, Yunpeng Xu, Yixuan Ma, Yang Zhao, Bing Qin, Ting Liu
2025 — conf
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
ACL (1)
Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025 J jnl
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.
CoRR
Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
2025 A* conf
Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models.
AAAI
Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin
2025 J jnl
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese.
ACM Trans. Knowl. Discov. Data
Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Chi Liu, Nuwa Xi, Yanrui Du, Bing Qin, Ting Liu
2025 B conf
LLMs May Perform MCQA by Selecting the Least Incorrect Option.
COLING
Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu
2025 J jnl
LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning.
CoRR
Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin
2025 J jnl
Large language models meet text-centric multimodal sentiment analysis: a survey.
Sci. China Inf. Sci.
Hao Yang, Yanyan Zhao, Yang Wu, Shilong Wang, Tian Zheng, Hongbo Zhang, Zongyang Ma, Wanxiang Che, Shijin Wang, Si Wei, Bing Qin
2025 — conf
Length Controlled Generation for Black-box LLMs.
ACL (1)
Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua
2025 A* conf
Look Beyond Feeling: Unveiling Latent Needs from Implicit Expressions for Proactive Emotional Support.
EMNLP
Xing Fu, Haozhen Li, Bichen Wang, Hao Yang, Yanyan Zhao, Bing Qin
2025 A* conf
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications.
EMNLP
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2025 J jnl
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications.
CoRR
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2025 J jnl
MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages.
CoRR
Yexing Du, Kaiyuan Liu, Youcheng Pan, Bo Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin, Yaowei Wang
2025 — conf
MPO: Multilingual Safety Alignment via Reward Gap Optimization.
ACL (1)
Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu
2025 J jnl
MPO: Multilingual Safety Alignment via Reward Gap Optimization.
CoRR
Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu
2025 J jnl
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents.
CoRR
Ruihan Chen, Qiming Li, Xiaocheng Feng, Xiaoliang Yang, Weihong Zhong, Yuxuan Gu, Zekun Zhou, Bing Qin
2025 — conf
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning.
ACL (1)
Yexing Du, Youcheng Pan, Ziyang Ma, Bo Yang, Yifan Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin
2025 J jnl
MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security.
CoRR
Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Ting Liu, Bing Qin
2025 B conf
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views.
IJCNN
Muzhen Cai, Sendong Zhao, Haochun Wang, Haoqiang Guo, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu
2025 J jnl
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM.
CoRR
Jiayin Lan, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin
2025 — conf
Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation.
ACL (Findings)
Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu
2025 — conf
One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit.
ACL (1)
Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin
2025 J jnl
One for All: Update Parameterized Knowledge Across Multiple Models.
CoRR
Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin
2025 — conf
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering.
ACL (1)
Runxuan Liu, Luobei Luobei, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin
2025 J jnl
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering.
CoRR
Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin
2025 A* conf
Probing and Boosting Large Language Models Capabilities via Attention Heads.
EMNLP
Dezhi Zhao, Xin Liu, Xiaocheng Feng, Hui Wang, Bing Qin
2025 J jnl
Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations.
CoRR
Junzhe Wang, Bichen Wang, Xing Fu, Yixin Sun, Yanyan Zhao, Bing Qin
2025 J jnl
SDRS: Sentiment-Aware Disentangled Representation Shifting for Multimodal Sentiment Analysis.
IEEE Trans. Affect. Comput.
Sicheng Zhao, Zhenhua Yang, Henglin Shi, Xiaocheng Feng, Lingpengkun Meng, Bing Qin, Chenggang Yan, Jianhua Tao, Guiguang Ding
2025 — conf
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
ACL (Findings)
Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Mingda Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin
2025 J jnl
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.
CoRR
Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Ming-Hsuan Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin
2025 J jnl
Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.
CoRR
Yang He, Xiao Ding, Bibo Cai, Yufei Zhang, Kai Xiong, Zhouhao Sun, Bing Qin, Ting Liu
2025 — conf
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models.
ACL (Findings)
Di Wu, Xin Lu, Yanyan Zhao, Bing Qin
2025 A* conf
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning.
SIGIR
Tao He, Lizi Liao, Ming Liu, Bing Qin
2025 J jnl
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning.
CoRR
Tao He, Lizi Liao, Ming Liu, Bing Qin
2025 A* conf
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues.
AAAI
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin
2025 J jnl
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment.
CoRR
Weixiang Zhao, Xingyu Sui, Yulin Hu, Jiahe Guo, Haixiao Liu, Biye Li, Yanyan Zhao, Bing Qin, Ting Liu
2025 J jnl
Think straight or think again? Continual joint learning of deduction, abduction and induction.
Neural Networks
Kai Xiong, Xiao Ding, Yixin Cao, Yang Zhao, Ting Liu, Bing Qin
2025 — conf
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.
EMNLP (Findings)
Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu
2025 J jnl
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.
CoRR
Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu
2025 B conf
Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation.
COLING
Zheng Chu, Jingchang Chen, Zhongjie Wang, Guo Tang, Qianglong Chen, Ming Liu, Bing Qin
2025 J jnl
Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities.
CoRR
Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Tat-Seng Chua, Ting Liu
2025 J jnl
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection.
CoRR
Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu
2025 J jnl
Uncovering the Role of Initial Saliency in U-Shaped Attention Bias: Scaling Initial Token Weight for Enhanced Long-Text Processing.
CoRR
Zewen Qiang, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu
2025 J jnl
Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering.
CoRR
Qiming Li, Xiaocheng Feng, Yixuan Ma, Zekai Ye, Ruihan Chen, Xiachong Feng, Bing Qin
2025 B conf
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis.
COLING
Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Xiachong Feng, Bing Qin
2025 J jnl
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners.
CoRR
Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu
2025 A* conf
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use.
EMNLP
Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu
2025 J jnl
x-ECON: Explainable Event-Consumption Commonsense Reasoning.
IEEE Trans. Big Data
Xiao Ding, Bibo Cai, Xue Li, Ting Liu, Bing Qin
2024 J jnl
A multi-task framework based on decomposition for multimodal named entity recognition.
Neurocomputing
Chenran Cai, Qianlong Wang, Bing Qin, Ruifeng Xu
2024 J jnl
AS-ES Learning: Towards Efficient CoT Learning in Small Models.
CoRR
Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu
2024 — conf
AS-ES Learning: Towards efficient CoT learning in small models.
ACL (Findings)
Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu
2024 J jnl
Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization.
IEEE ACM Trans. Audio Speech Lang. Process.
Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin
2024 A* conf
Advancing Large Language Model Attribution through Self-Improving.
EMNLP
Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 J jnl
Advancing Large Language Model Attribution through Self-Improving.
CoRR
Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 A* conf
Aligning Translation-Specific Understanding to General Understanding in Large Language Models.
EMNLP
Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin
2024 J jnl
Aligning Translation-Specific Understanding to General Understanding in Large Language Models.
CoRR
Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin
2024 — conf
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.
ACL (1)
Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin
2024 J jnl
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation.
CoRR
Kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin
2024 A* conf
BC-Prover: Backward Chaining Prover for Formal Theorem Proving.
EMNLP
Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin
2024 — conf
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.
ACL (1)
Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin
2024 J jnl
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering.
CoRR
Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin
2024 J jnl
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis.
CoRR
Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu
2024 J jnl
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models.
CoRR
Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu
2024 — conf
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence.
ACL (Findings)
Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin
2024 J jnl
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence.
CoRR
Weixiang Zhao, Zhuojun Li, Shilong Wang, Yang Wang, Yulin Hu, Yanyan Zhao, Chen Wei, Bing Qin
2024 J jnl
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information.
CoRR
Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2024 — conf
CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark.
BIBM
Zijian Li, Sendong Zhao, Haochun Wang, Haoming Xu, Bing Qin, Ting Liu
2024 — conf
Causal-Guided Active Learning for Debiasing Large Language Models.
ACL (1)
Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin
2024 J jnl
Causal-Guided Active Learning for Debiasing Large Language Models.
CoRR
Li Du, Zhouhao Sun, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin
2024 J jnl
CoT-ST: Enhancing LLM-based Speech Translation with Multimodal Chain-of-Thought.
CoRR
Yexing Du, Ziyang Ma, Yifan Yang, Keqi Deng, Xie Chen, Bo Yang, Yang Xiang, Ming Liu, Bing Qin
2024 — conf
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
EMNLP (Findings)
Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024 J jnl
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
CoRR
Yaojia Lv, Haojie Pan, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024 J jnl
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective.
CoRR
Xinmiao Yu, Xiaocheng Feng, Yun Li, Minghui Liao, Ya-Qi Yu, Xiachong Feng, Weihong Zhong, Ruihan Chen, Mengkang Hu, Jihao Wu, Dandan Tu, Duyu Tang, Bing Qin
2024 J jnl
DAPT: A Dual Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.
CoRR
Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2024 J jnl
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis.
CoRR
Hao Yang, Zhenyu Zhang, Yanyan Zhao, Bing Qin
2024 — conf
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.
ACL (Findings)
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin
2024 J jnl
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning.
CoRR
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin
2024 — conf
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition.
LREC/COLING
Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024 — conf
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning.
ACL (Findings)
Yuhang He, Jianzhu Bao, Yang Sun, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu
2024 J jnl
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning.
CoRR
Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao
2024 A* conf
Discrete Modeling via Boundary Conditional Diffusion Processes.
NeurIPS
Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin
2024 J jnl
Discrete Modeling via Boundary Conditional Diffusion Processes.
CoRR
Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin
2024 J jnl
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
IEEE Trans. Multim.
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu
2024 A* conf
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
NeurIPS
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
2024 J jnl
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.
CoRR
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
2024 — conf
ESDM: Early Sensing Depression Model in Social Media Streams.
LREC/COLING
Bichen Wang, Yuzhe Zi, Yanyan Zhao, Pengfei Deng, Bing Qin
2024 J jnl
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.
CoRR
Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu
2024 — conf
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion.
NLPCC (4)
Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin
2024 J jnl
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion.
CoRR
Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin
2024 A* conf
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration.
NeurIPS
Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin
2024 J jnl
Ensuring Consistency for In-Image Translation.
CoRR
Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Zhirui Zhang, Yunfei Lu, Dandan Tu, Duyu Tang, Hui Wang, Bing Qin, Ting Liu
2024 J jnl
Event Causality Identification via Competitive-Cooperative Cognition Networks.
Knowl. Based Syst.
Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin
2024 A* conf
Extending Context Window of Large Language Models from a Distributional Perspective.
EMNLP
Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 J jnl
Extending Context Window of Large Language Models from a Distributional Perspective.
CoRR
Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 A* conf
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery.
AAAI
Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin
2024 J jnl
From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality.
CoRR
Shixin Jiang, Jiafeng Liang, Ming Liu, Bing Qin
2024 — conf
Fusion Pruning for Large Language Models.
ISCSLP
Shixin Jiang, Ming Liu, Bing Qin
2024 A* conf
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
IJCAI
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024 J jnl
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
CoRR
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024 A* conf
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.
EMNLP
Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 J jnl
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.
CoRR
Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin
2024 J jnl
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models.
CoRR
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
2024 — conf
Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation.
LREC/COLING
Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Hui Wang, Bing Qin
2024 J jnl
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider Transformer Models.
CoRR
Xin Lu, Yanyan Zhao, Bing Qin
2024 A* conf
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers.
NeurIPS
Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu
2024 J jnl
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput.
Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu
2024 — conf
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.
ACL (Findings)
Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu
2024 J jnl
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.
CoRR
Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu
2024 — conf
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models.
EMNLP (Findings)
Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin
2024 — conf
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.
ACL (1)
Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin
2024 J jnl
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models.
CoRR
Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin
2024 J jnl
Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey.
CoRR
Hao Yang, Yanyan Zhao, Yang Wu, Shilong Wang, Tian Zheng, Hongbo Zhang, Wanxiang Che, Bing Qin
2024 — conf
Learning Fine-Grained Grounded Citations for Attributed Large Language Models.
ACL (Findings)
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin
2024 J jnl
Learning Fine-Grained Grounded Citations for Attributed Large Language Models.
CoRR
Lei Huang, Xiaocheng Feng, Weitao Ma, Yuxuan Gu, Weihong Zhong, Xiachong Feng, Weijiang Yu, Weihua Peng, Duyu Tang, Dandan Tu, Bing Qin
2024 J jnl
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions.
CoRR
Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu
2024 J jnl
Length Controlled Generation for Black-box LLMs.
CoRR
Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin
2024 — conf
Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding.
EMNLP (Findings)
Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu
2024 J jnl
Lens: Rethinking Multilingual Enhancement for Large Language Models.
CoRR
Weixiang Zhao, Yulin Hu, Jiahe Guo, Xingyu Sui, Tongtong Wu, Yang Deng, Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu
2024 A conf
Leveraging Psychiatric Scale for Suicide Risk Detection on Social Media.
ICWSM
Bichen Wang, Pengfei Deng, Song Chen, Yanyan Zhao, Bing Qin
2024 J jnl
MACSA: A multimodal aspect-category sentiment analysis dataset with multimodal fine-grained aligned annotations.
Multim. Tools Appl.
Hao Yang, Zhengming Si, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin
2024 A* conf
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification.
AAAI
Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu
2024 J jnl
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
CoRR
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024 A* conf
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
NeurIPS
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024 A* conf
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability.
NeurIPS
Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
2024 J jnl
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability.
CoRR
Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
2024 J jnl
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views.
CoRR
Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu
2024 A* conf
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts.
AAAI
Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin
2024 J jnl
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts.
CoRR
Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin
2024 — conf
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
ACL (1)
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu
2024 — conf
Planning Like Human: A Dual-process Framework for Dialogue Planning.
ACL (1)
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
2024 J jnl
Planning Like Human: A Dual-process Framework for Dialogue Planning.
CoRR
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
2024 J jnl
Pretraining without wordpieces: learning over a vocabulary of millions of words.
Int. J. Mach. Learn. Cybern.
Zhangyin Feng, Duyu Tang, Xiaocheng Feng, Cong Zhou, Junwei Liao, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi
2024 — conf
Probing the Dual Logic Ability of Privatized Medical-Domain LLMs.
BIBM
Yanrui Du, Sendong Zhao, Muzhen Cai, Ming Ma, Danyang Zhao, Jiawei Cao, Bing Qin
2024 J jnl
RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language Models.
CoRR
Bichen Wang, Yuzhe Zi, Yixin Sun, Yanyan Zhao, Bing Qin
2024 — conf
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.
LREC/COLING
Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin
2024 J jnl
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.
CoRR
Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin
2024 J jnl
Reasoning subevent relation over heterogeneous event graph.
Knowl. Inf. Syst.
Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu
2024 Misc conf
Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction.
ICASSP
Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin
2024 J jnl
Relay Decoding: Concatenating Large Language Models for Machine Translation.
CoRR
Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bing Qin, Ting Liu
2024 J jnl
Rethinking Entity-level Unlearning for Large Language Models.
CoRR
Weitao Ma, Xiaocheng Feng, Weihong Zhong, Lei Huang, Yangfan Ye, Bing Qin
2024 Misc conf
Retrieval-Generation Synergy Augmented Large Language Models.
ICASSP
Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin
2024 — conf
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models.
ACL (1)
Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che
2024 — conf
SCIR-MT's Submission for WMT24 General Machine Translation Task.
WMT
Baohang Li, Zekai Ye, Yichong Huang, Xiaocheng Feng, Bing Qin
2024 — conf
Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media.
BIBM
Bichen Wang, Yixin Sun, Yuzhe Zi, Yanyan Zhao, Bing Qin
2024 — conf
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner.
ACL (1)
Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
2024 J jnl
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner.
CoRR
Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
2024 J jnl
Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models.
CoRR
Di Wu, Xin Lu, Yanyan Zhao, Bing Qin
2024 J jnl
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues.
CoRR
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin
2024 Misc conf
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills.
ICASSP
Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi
2024 — conf
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.
LREC/COLING
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin
2024 J jnl
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.
CoRR
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2024 J jnl
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty?
Mach. Intell. Res.
Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu
2024 — conf
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.
ACL (1)
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin
2024 — conf
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis.
EMNLP (Findings)
Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin
2024 J jnl
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching.
CoRR
Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua
2024 — conf
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.
LREC/COLING
Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin
2024 J jnl
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.
CoRR
Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin
2024 J jnl
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning.
CoRR
Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, Bing Qin
2024 J jnl
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement.
Neural Networks
Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu
2024 J jnl
VEM
Data Min. Knowl. Discov.
Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin
2024 J jnl
Vanilla Transformers are Transfer Capability Teachers.
CoRR
Xin Lu, Yanyan Zhao, Bing Qin
2024 J jnl
XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation.
CoRR
Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Libo Qin, Yichong Huang, Lei Huang, Weitao Ma, Zhirui Zhang, Yunfei Lu, Xiaohui Yan, Duyu Tang, Dandan Tu, Bing Qin
2023 — conf
A Diffusion Model for Event Skeleton Generation.
ACL (Findings)
Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
2023 J jnl
A Diffusion Model for Event Skeleton Generation.
CoRR
Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
2023 J jnl
A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.
CoRR
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu
2023 J jnl
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.
CoRR
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu
2023 Misc conf
A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations.
ICASSP
Xin Lu, Weixiang Zhao, Yanyan Zhao, Bing Qin, ZhenTao Zhang, Junjie Wen
2023 J jnl
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network.
Cogn. Syst. Res.
Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin
2023 J jnl
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization.
CoRR
Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin
2023 J jnl
An Early Evaluation of GPT-4V(ision).
CoRR
Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, Bing Qin
2023 — conf
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis.
ACL (Findings)
Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu
2023 — conf
An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations.
EMNLP (Findings)
Geng Tu, Bin Liang, Bing Qin, Kam-Fai Wong, Ruifeng Xu
2023 — conf
An End-to-End Transformer with Progressive Tri-Modal Attention for Multi-modal Emotion Recognition.
PRCV (7)
Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin
2023 J jnl
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak.
CoRR
Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin
2023 — conf
C2D2 Dataset: A Resource for the Cognitive Distortion Analysis and Its Impact on Mental Health.
EMNLP (Findings)
Bichen Wang, Pengfei Deng, Yanyan Zhao, Bing Qin
2023 — ed.
Chinese Computational Linguistics - 22nd China National Conference, CCL 2023, Harbin, China, August 3-5, 2023, Proceedings
CCL
Maosong Sun, Bing Qin, Xipeng Qiu, Jing Jiang, Xianpei Han, Gaoqi Rao, Yubo Chen
2023 — conf
Controllable Text Generation via Probability Density Estimation in the Latent Space.
ACL (1)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin
2023 Misc conf
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5.
ICASSP
Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu
2023 — conf
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness.
ACL (Findings)
Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin
2023 J jnl
Emage: Non-Autoregressive Text-to-Image Generation.
CoRR
Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi
2023 — conf
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations.
EMNLP (Findings)
Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu
2023 — conf
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.
EMNLP (Findings)
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
2023 J jnl
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.
CoRR
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
2023 J jnl
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion.
CoRR
Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin
2023 J jnl
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery.
CoRR
Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin
2023 J jnl
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue.
CoRR
Yanrui Du, Sendong Zhao, Yuhan Chen, Rai Bai, Jing Liu, Hua Wu, Haifeng Wang, Bing Qin
2023 A* conf
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation.
IJCAI
Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2023 — conf
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning.
NLPCC (1)
Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin
2023 J jnl
Global Prompt Cell: A Portable Control Module for Effective Prompt.
CoRR
Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin
2023 — conf
HIT-SCIR at WASSA 2023: Empathy and Emotion Analysis at the Utterance-Level and the Essay-Level.
WASSA@ACL
Xin Lu, Zhuojun Li, Yanpeng Tong, Yanyan Zhao, Bing Qin
2023 A conf
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark.
WSDM
Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin
2023 — conf
Hierarchical Catalogue Generation for Literature Review: A Benchmark.
EMNLP (Findings)
Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin
2023 J jnl
Hierarchical Catalogue Generation for Literature Review: A Benchmark.
CoRR
Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin
2023 J jnl
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge.
CoRR
Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu
2023 — conf
Improved Visual Story Generation with Adaptive Context Modeling.
ACL (Findings)
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin
2023 J jnl
Improved Visual Story Generation with Adaptive Context Modeling.
CoRR
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin
2023 — conf
Improving Affective Event Classification with Multi-perspective Knowledge Injection.
CCL
Wenjia Yi, Yanyan Zhao, Jianhua Yuan, Weixiang Zhao, Bing Qin
2023 — conf
Improving Conversational Aspect-Based Sentiment Quadruple Analysis with Overall Modeling.
NLPCC (3)
Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin
2023 J jnl
Improving Cross-Task Generalization with Step-by-Step Instructions.
CoRR
Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong
2023 — conf
In-context Learning for Few-shot Multimodal Named Entity Recognition.
EMNLP (Findings)
Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu
2023 J jnl
Is ChatGPT Equipped with Emotional Dialogue Capabilities?
CoRR
Weixiang Zhao, Yanyan Zhao, Xin Lu, Shilong Wang, Yanpeng Tong, Bing Qin
2023 — conf
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.
EMNLP (Findings)
Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu
2023 J jnl
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.
CoRR
Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu
2023 A* conf
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment.
AAAI
Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin
2023 J jnl
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese.
CoRR
Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu
2023 J jnl
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models.
CoRR
Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia Lv, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2023 A* conf
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions.
EMNLP
Fangqi Zhu, Yongqi Zhang, Lei Chen, Bing Qin, Ruifeng Xu
2023 J jnl
Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding.
CoRR
Liang Zhao, Xiaocheng Feng, Xiachong Feng, Bing Qin, Ting Liu
2023 A* conf
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
IJCAI
Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin
2023 — conf
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
EMNLP (Findings)
Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
2023 J jnl
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.
CoRR
Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
2023 — conf
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making.
EMNLP (Findings)
Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin
2023 J jnl
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making.
CoRR
Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin
2023 J jnl
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification.
CoRR
Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu
2023 — conf
Multimodal Dialogue Understanding via Holistic Modeling and Sequence Labeling.
NLPCC (3)
Chenran Cai, Qin Zhao, Ruifeng Xu, Bing Qin
2023 — conf
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
ACL (Findings)
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2023 J jnl
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
CoRR
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2023 J jnl
Retrieval-Generation Synergy Augmented Large Language Models.
CoRR
Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin
2023 A* conf
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training.
AAAI
Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin
2023 J jnl
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training.
CoRR
Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin
2023 A* conf
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning.
AAAI
Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang
2023 J jnl
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning.
CoRR
Xiachong Feng, Xiaocheng Feng, Bing Qin
2023 J jnl
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills.
CoRR
Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi
2023 J jnl
SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models.
CoRR
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin
2023 J jnl
TAGNet: a tiny answer-guided network for conversational question generation.
Int. J. Mach. Learn. Cybern.
Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin
2023 J jnl
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature.
CoRR
Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin
2023 J jnl
The Role of Summarization in Generative Agents: A Preliminary Perspective.
CoRR
Xiachong Feng, Xiaocheng Feng, Bing Qin
2023 J jnl
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.
CoRR
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin
2023 — conf
Towards Higher Pareto Frontier in Multilingual Machine Translation.
ACL (1)
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin
2023 J jnl
Towards Higher Pareto Frontier in Multilingual Machine Translation.
CoRR
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin
2023 — conf
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing.
ACL (1)
Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu
2023 — conf
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition.
ACL (Findings)
Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin
2023 J jnl
TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition.
CoRR
Weixiang Zhao, Yanyan Zhao, Shilong Wang, Bing Qin
2023 J jnl
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications.
CoRR
Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu
2023 J jnl
UNIMO-3: Multi-granularity Interaction for Vision-Language Representation Learning.
CoRR
Hao Yang, Can Gao, Hao Liu, Xinyan Xiao, Yanyan Zhao, Bing Qin
2023 — conf
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language.
ACL (1)
Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu
2023 J jnl
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language.
CoRR
Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu
2022 A* conf
A Distributional Lens for Multi-Aspect Controllable Text Generation.
EMNLP
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
2022 J jnl
A Distributional Lens for Multi-Aspect Controllable Text Generation.
CoRR
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
2022 A* conf
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism.
EMNLP
Jianzhu Bao, Yuhang He, Yang Sun, Bin Liang, Jiachen Du, Bing Qin, Min Yang, Ruifeng Xu
2022 — conf
A Graph Enhanced BERT Model for Event Prediction.
ACL (Findings)
Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin
2022 J jnl
A Graph Enhanced BERT Model for Event Prediction.
CoRR
Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin
2022 A* conf
A Survey on Dialogue Summarization: Recent Advances and New Frontiers.
IJCAI
Xiachong Feng, Xiaocheng Feng, Bing Qin
2022 J jnl
A survey of discourse parsing.
Frontiers Comput. Sci.
Jiaqi Li, Ming Liu, Bing Qin, Ting Liu
2022 J jnl
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition.
CoRR
Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin
2022 J jnl
BigCilin: An Automatic Chinese Open-domain Knowledge Graph with Fine-grained Hypernym-Hyponym Relations.
CoRR
Ming Liu, Yaojia Lv, Jingrun Zhang, Ruiji Fu, Bing Qin
2022 J jnl
Biomedical evidence engineering for data-driven discovery.
Bioinform.
Sendong Zhao, Aobo Wang, Bing Qin, Fei Wang
2022 — ed.
CCKS 2021 - Evaluation Track - 6th China Conference on Knowledge Graph and Semantic Computing, CCKS 2021, Guangzhou, China, December 25-26, 2021, Revised Selected Papers
CCKS (Evaluation Track)
Bing Qin, Haofen Wang, Ming Liu, Jiangtao Zhang
2022 — conf
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning.
CCKS
Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin
2022 B conf
CogBERT: Cognition-Guided Pre-trained Language Models.
COLING
Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu
2022 J jnl
Controllable Text Generation via Probability Density Estimation in the Latent Space.
CoRR
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
2022 J jnl
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning.
CoRR
Jianhua Yuan, Yanyan Zhao, Bing Qin
2022 J jnl
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
CoRR
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu
2022 A* conf
Distilled Dual-Encoder Model for Vision-Language Understanding.
EMNLP
Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei
2022 J jnl
Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness.
CoRR
Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin
2022 J jnl
Enhancing pretrained language models with structured commonsense knowledge for textual inference.
Knowl. Based Syst.
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2022 A* conf
Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis.
EMNLP
Hao Yang, Yanyan Zhao, Bing Qin
2022 J jnl
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark.
CoRR
Zhenran Xu, Zifei Shan, Yuxin Li, Baotian Hu, Bing Qin
2022 — conf
Improving Controllable Text Generation with Position-Aware Weighted Decoding.
ACL (Findings)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin
2022 J jnl
Interactive Gated Decoder for Machine Reading Comprehension.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Yiming Cui, Wanxiang Che, Ziqing Yang, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
2022 J jnl
Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment.
CoRR
Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin
2022 J jnl
Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia.
CoRR
Haojie Pan, Yuzhou Zhang, Zepeng Zhai, Ruiji Fu, Ming Liu, Yangqiu Song, Zhongyuan Wang, Bing Qin
2022 J jnl
Learning to refine source representations for neural machine translation.
Int. J. Mach. Learn. Cybern.
Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu
2022 J jnl
Learning to share by masking the non-shared for multi-domain sentiment classification.
Int. J. Mach. Learn. Cybern.
Jianhua Yuan, Yanyan Zhao, Bing Qin
2022 J jnl
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
CoRR
Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Hua Wu, Haifeng Wang, Bing Qin
2022 — conf
Leveraging Multi-modal Interactions among the Intermediate Representations of Deep Transformers for Emotion Recognition.
MuSe @ ACM Multimedia
Yang Wu, Zhenyu Zhang, Pai Peng, Yanyan Zhao, Bing Qin
2022 J jnl
MACSA: A Multimodal Aspect-Category Sentiment Analysis Dataset with Multimodal Fine-grained Aligned Annotations.
CoRR
Hao Yang, Yanyan Zhao, Jianwei Liu, Yang Wu, Bing Qin
2022 — conf
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization.
DialDoc@ACL
Xiachong Feng, Xiaocheng Feng, Bing Qin
2022 — conf
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering.
EMNLP (Findings)
Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu
2022 A* conf
Masking and Generation: An Unsupervised Method for Sarcasm Detection.
SIGIR
Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu
2022 B conf
MuCDN: Mutual Conversational Detachment Network for Emotion Recognition in Multi-Party Conversations.
COLING
Weixiang Zhao, Yanyan Zhao, Bing Qin
2022 J jnl
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation.
CoRR
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin
2022 J jnl
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words.
CoRR
Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi
2022 B conf
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
COLING
Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu
2022 J jnl
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words.
CoRR
Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu
2022 A* conf
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
EMNLP
Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai
2022 J jnl
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
CoRR
Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai
2022 B conf
SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection.
COLING
Jianhua Yuan, Yanyan Zhao, Yanyue Lu, Bing Qin
2022 A* conf
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing.
EMNLP
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2022 — conf
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors.
ACL (Findings)
Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao
2022 J jnl
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors.
CoRR
Yang Wu, Yanyan Zhao, Hao Yang, Song Chen, Bing Qin, Xiaohuan Cao, Wenting Zhao
2022 J jnl
Structural and Textual Information Fusion for Symptom and Disease Representation Learning.
IEEE Trans. Knowl. Data Eng.
Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang
2022 J jnl
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?
CoRR
Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu
2022 J jnl
Transforming Wikipedia Into Augmented Data for Query-Focused Summarization.
IEEE ACM Trans. Audio Speech Lang. Process.
Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu
2022 A* conf
Unifying the Convergences in Multilingual Neural Machine Translation.
EMNLP
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin
2022 J jnl
VEM
CoRR
Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin
2022 J jnl
Zero-shot Aspect-level Sentiment Classification via Explicit Utilization of Aspect-to-Document Sentiment Composition.
CoRR
Pengfei Deng, Jianhua Yuan, Yanyan Zhao, Bing Qin
2022 — conf
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.
ACL (1)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2022 J jnl
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.
CoRR
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2021 J jnl
A Survey on Dialogue Summarization: Recent Advances and New Frontiers.
CoRR
Xiachong Feng, Xiaocheng Feng, Bing Qin
2021 — conf
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis.
ACL/IJCNLP (Findings)
Yang Wu, Zijie Lin, Yanyan Zhao, Bing Qin, Li-Nan Zhu
2021 — conf
An Aspect-Centralized Graph Convolutional Network for Aspect-Based Sentiment Classification.
NLPCC (2)
Weixiang Zhao, Yanyan Zhao, Xin Lu, Bing Qin
2021 J jnl
Biomedical Knowledge Graphs Construction From Conditional Statements.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2021 J jnl
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision.
CoRR
Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin
2021 B conf
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension.
IJCNN
Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu
2021 J jnl
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension.
CoRR
Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu
2021 A* conf
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization.
IJCAI
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng
2021 J jnl
Distilled Dual-Encoder Model for Vision-Language Understanding.
CoRR
Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei
2021 — conf
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning.
ACL/IJCNLP (1)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2021 A conf
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
CIKM
Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin
2021 J jnl
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps.
CoRR
Yibo Sun, Jizhou Huang, Chunyuan Yuan, Miao Fan, Haifeng Wang, Ming Liu, Bing Qin
2021 J jnl
Heterogeneous graph knowledge enhanced stock market prediction.
AI Open
Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin
2021 — conf
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.
CCL
Xiachong Feng, Xiaocheng Feng, Bing Qin
2021 J jnl
Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci.
Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang
2021 — conf
Knowledge Enhanced Target-Aware Stance Detection on Tweets.
CCKS
Xin Zhang, Jianhua Yuan, Yanyan Zhao, Bing Qin
2021 — ed.
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction - 6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings
CCKS
Bing Qin, Zhi Jin, Haofen Wang, Jeff Z. Pan, Yongbin Liu, Bo An
2021 — conf
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization.
ACL/IJCNLP (1)
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu
2021 J jnl
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization.
CoRR
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu
2021 — conf
Learning Event Graph Knowledge for Abductive Reasoning.
ACL/IJCNLP (1)
Li Du, Xiao Ding, Ting Liu, Bing Qin
2021 J jnl
Learning number reasoning for numerical table-to-text generation.
Int. J. Mach. Learn. Cybern.
Xiaocheng Feng, Heng Gong, Yuyu Chen, Yawei Sun, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu
2021 — conf
Learning to Rewrite for Non-Autoregressive Neural Machine Translation.
EMNLP (1)
Xinwei Geng, Xiaocheng Feng, Bing Qin
2021 J jnl
Learning to Share by Masking the Non-shared for Multi-domain Sentiment Classification.
CoRR
Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu
2021 — conf
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension.
EMNLP (Findings)
Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin
2021 — conf
Locate and Combine: A Two-Stage Framework for Aspect-Category Sentiment Analysis.
NLPCC (1)
Yang Wu, Zhenyu Zhang, Yanyan Zhao, Bing Qin
2021 J jnl
Modeling Incongruity between Modalities for Multimodal Sarcasm Detection.
IEEE Multim.
Yang Wu, Yanyan Zhao, Xin Lu, Bing Qin, Yin Wu, Jian Sheng, Jinlong Li
2021 — conf
Neural Natural Logic Inference for Interpretable Question Answering.
EMNLP (1)
Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin
2021 J jnl
Pre-Training With Whole Word Masking for Chinese BERT.
IEEE ACM Trans. Audio Speech Lang. Process.
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang
2021 J jnl
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process.
Sci. China Inf. Sci.
Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu
2021 — conf
Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots.
EMNLP (Findings)
Xin Lu, Yijian Tian, Yanyan Zhao, Bing Qin
2021 J jnl
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey.
CoRR
Yi-Chong Huang, Xiachong Feng, Xiaocheng Feng, Bing Qin
2020 — conf
A Passage-Level Text Similarity Calculation.
NLPCC (1)
Ming Liu, Zihao Zheng, Bing Qin, Yitong Liu
2020 J jnl
A syntactic path-based hybrid neural network for negation scope detection.
Frontiers Comput. Sci.
Lydia Lazib, Bing Qin, Yanyan Zhao, Weinan Zhang, Ting Liu
2020 B conf
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations.
COLING
Xin Lu, Yanyan Zhao, Yang Wu, Yijian Tian, Huipeng Chen, Bing Qin
2020 J jnl
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules.
CoRR
Sendong Zhao, Bing Qin, Ting Liu, Fei Wang
2020 J jnl
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network.
CoRR
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2020 — conf
CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
EMNLP (Findings)
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou
2020 J jnl
CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
CoRR
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou
2020 J jnl
Deep Contextualized Word Embeddings for Universal Dependency Parsing.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Yijia Liu, Wanxiang Che, Yuxuan Wang, Bo Zheng, Bing Qin, Ting Liu
2020 J jnl
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization.
CoRR
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu
2020 — conf
Document-Level Event Subject Pair Recognition.
NLPCC (1)
Zhenyu Hu, Ming Liu, Yin Wu, Jiexin Xu, Bing Qin, Jinlong Li
2020 J jnl
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences.
Mob. Networks Appl.
Xiaocheng Feng, Zhangyin Feng, Wanlong Zhao, Bing Qin, Ting Liu
2020 — conf
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification.
EMNLP (Findings)
Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu
2020 J jnl
Exploring Segment Representations for Neural Semi-Markov Conditional Random Fields.
IEEE ACM Trans. Audio Speech Lang. Process.
Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu
2020 — conf
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection.
SemEval@COLING
Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu
2020 A* conf
How Does Selective Mechanism Improve Self-Attention Networks?
ACL
Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu
2020 J jnl
How Does Selective Mechanism Improve Self-Attention Networks?
CoRR
Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu
2020 J jnl
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks.
CoRR
Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu
2020 J jnl
Joint Learning of Question Answering and Question Generation.
IEEE Trans. Knowl. Data Eng.
Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu
2020 A* conf
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation.
AAAI
Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu
2020 J jnl
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation.
CoRR
Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu
2020 B conf
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
COLING
Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin
2020 J jnl
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure.
CoRR
Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin
2020 A* conf
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.
AAAI
Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang
2020 — conf
Revisiting Pre-Trained Models for Chinese Natural Language Processing.
EMNLP (Findings)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
2020 J jnl
Revisiting Pre-Trained Models for Chinese Natural Language Processing.
CoRR
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
2020 B conf
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching.
COLING
Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu
2020 — conf
Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.
BIBM
Tianwen Jiang, Ning Zhang, Ming Liu, Meng Jiang, Ting Liu, Bing Qin
2019 J jnl
A Multi-View-Based Collective Entity Linking Method.
ACM Trans. Inf. Syst.
Ming Liu, Gu Gong, Bing Qin, Ting Liu
2019 J jnl
An Annotation Scheme of A Large-scale Multi-party Dialogues Dataset for Discourse Parsing and Machine Comprehension.
CoRR
Jiaqi Li, Ming Liu, Bing Qin, Zihao Zheng, Ting Liu
2019 J jnl
Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes.
CoRR
Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
2019 — conf
CTGA: Graph-based Biomedical Literature Search.
BIBM
Tianwen Jiang, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 J jnl
Collective entity linking: a random walk-based perspective.
Knowl. Inf. Syst.
Ming Liu, Yanyan Zhao, Bing Qin, Ting Liu
2019 J jnl
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.
CoRR
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 J jnl
Content-based table retrieval for web queries.
Neurocomputing
Yibo Sun, Zhao Yan, Duyu Tang, Nan Duan, Bing Qin
2019 — conf
Cross-Lingual Machine Reading Comprehension.
EMNLP/IJCNLP (1)
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
2019 J jnl
Cross-Lingual Machine Reading Comprehension.
CoRR
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
2019 — conf
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge.
EMNLP/IJCNLP (1)
Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin
2019 A* conf
Exploring Answer Stance Detection with Recurrent Conditional Attention.
AAAI
Jianhua Yuan, Yanyan Zhao, Jingfang Xu, Bing Qin
2019 B conf
Hierarchical Attention based Neural Network for Explainable Recommendation.
ICMR
Dawei Cong, Yanyan Zhao, Bing Qin, Yu Han, Murray Zhang, Alden Liu, Nat Chen
2019 — ed.
Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding - 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019, Revised Selected Papers
CCKS
Xiaoyan Zhu, Bing Qin, Xiaodan Zhu, Ming Liu, Longhua Qian
2019 — conf
Knowledge-Aware Conversational Semantic Parsing over Web Tables.
NLPCC (1)
Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou
2019 — conf
Learning to Ask Unanswerable Questions for Machine Reading Comprehension.
ACL (1)
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu
2019 J jnl
Learning to Ask Unanswerable Questions for Machine Reading Comprehension.
CoRR
Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu
2019 — conf
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.
EMNLP/IJCNLP (1)
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 J jnl
Negation scope detection with recurrent neural networks models in review texts.
Int. J. High Perform. Comput. Netw.
Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu
2019 J jnl
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.
CoRR
Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang
2019 J jnl
Pre-Training with Whole Word Masking for Chinese BERT.
CoRR
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu
2019 — conf
Table-to-Text Generation via Row-Aware Hierarchical Encoder.
CCL
Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu
2019 — conf
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time).
EMNLP/IJCNLP (1)
Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu
2019 J jnl
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time).
CoRR
Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu
2019 J jnl
Tag recommendation based on topic hierarchy of folksonomy.
Int. J. Comput. Sci. Eng.
Han Xue, Bing Qin, Ting Liu, Shen Liu
2019 A* conf
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.
KDD
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2019 J jnl
Towards Time-Aware Distant Supervision for Relation Extraction.
CoRR
Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin
2019 J jnl
Transforming Wikipedia into Augmented Data for Query-Focused Summarization.
CoRR
Haichao Zhu, Li Dong, Furu Wei, Bing Qin, Ting Liu
2018 — conf
A Joint Model for Sentiment Classification and Opinion Words Extraction.
CCL
Dawei Cong, Jianhua Yuan, Yanyan Zhao, Bing Qin
2018 J jnl
A language-independent neural network for event detection.
Sci. China Inf. Sci.
Xiaocheng Feng, Bing Qin, Ting Liu
2018 A* conf
Adaptive Multi-pass Decoder for Neural Machine Translation.
EMNLP
Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu
2018 A* conf
An AMR Aligner Tuned by Transition-based Parser.
EMNLP
Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu
2018 J jnl
An AMR Aligner Tuned by Transition-based Parser.
CoRR
Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu
2018 — conf
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data.
BCB
Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu
2018 — conf
Distilling Knowledge for Search-based Structured Prediction.
ACL (1)
Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu
2018 J jnl
Distilling Knowledge for Search-based Structured Prediction.
CoRR
Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu
2018 A* conf
Hierarchical Attention Flow for Multiple-Choice Reading Comprehension.
AAAI
Haichao Zhu, Furu Wei, Bing Qin, Ting Liu
2018 A* conf
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer.
IJCAI
Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu
2018 J jnl
Knowledge Based Machine Reading Comprehension.
CoRR
Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin
2018 J jnl
Knowledge-Aware Conversational Semantic Parsing Over Web Tables.
CoRR
Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin
2018 J jnl
Learning to Refine Source Representations for Neural Machine Translation.
CoRR
Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu
2018 — conf
Parsing Tweets into Universal Dependencies.
NAACL-HLT
Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith
2018 J jnl
Parsing Tweets into Universal Dependencies.
CoRR
Yijia Liu, Yi Zhu, Wanxiang Che, Bing Qin, Nathan Schneider, Noah A. Smith
2018 — conf
Semantic Parsing with Syntax- and Table-Aware SQL Generation.
ACL (1)
Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou
2018 J jnl
Semantic Parsing with Syntax- and Table-Aware SQL Generation.
CoRR
Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou
2018 A* conf
Topic-to-Essay Generation with Neural Networks.
IJCAI
Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu
2017 — conf
Babbling - The HIT-SCIR System for Emotional Conversation Generation.
NLPCC
Jianhua Yuan, Huaipeng Zhao, Yanyan Zhao, Dawei Cong, Bing Qin, Ting Liu
2017 — conf
Benben: A Chinese Intelligent Conversational Robot.
ACL (System Demonstrations)
Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding
2017 — conf
Constructing Semantic Hierarchies via Fusion Learning Architecture.
CCIR
Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
2017 A conf
Constructing and Embedding Abstract Event Causality Networks from Text Snippets.
WSDM
Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai
2017 A* conf
ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data.
IJCAI
Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai
2017 J jnl
Contradiction Detection with Contradiction-Specific Word Embedding.
Algorithms
Luyang Li, Bing Qin, Ting Liu
2017 — conf
Deep Learning Based Document Theme Analysis for Composition Generation.
CCL
Jiahao Liu, Chengjie Sun, Bing Qin
2017 J jnl
Document representation and feature combination for deceptive spam review detection.
Neurocomputing
Luyang Li, Bing Qin, Wenjing Ren, Ting Liu
2017 A* conf
Effective Deep Memory Networks for Distant Supervised Relation Extraction.
IJCAI
Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu
2017 J jnl
Encoding syntactic representations with a neural network for sentiment collocation extraction.
Sci. China Inf. Sci.
Yanyan Zhao, Bing Qin, Ting Liu
2017 — conf
Local Contexts Are Effective for Neural Aspect Extraction.
SMP
Jianhua Yuan, Yanyan Zhao, Bing Qin, Ting Liu
2016 — conf
A Language-Independent Neural Network for Event Detection.
ACL (2)
Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu
2016 A* conf
Aspect Level Sentiment Classification with Deep Memory Network.
EMNLP
Duyu Tang, Bing Qin, Ting Liu
2016 J jnl
Aspect Level Sentiment Classification with Deep Memory Network.
CoRR
Duyu Tang, Bing Qin, Ting Liu
2016 B conf
Effective LSTMs for Target-Dependent Sentiment Classification.
COLING
Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu
2016 — conf
Encoding Dependency Representation with Convolutional Neural Network for Target-Polarity Word Collocation Extraction.
SMP
Yanyan Zhao, Shengqiu Li, Bing Qin, Ting Liu
2016 B conf
English-Chinese Knowledge Base Translation with Neural Network.
COLING
Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu
2016 A* conf
Exploring Segment Representations for Neural Segmentation Models.
IJCAI
Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu
2016 J jnl
Exploring Segment Representations for Neural Segmentation Models.
CoRR
Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu
2016 A* conf
HC-Search for Incremental Parsing.
IJCAI
Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu
2016 — conf
Negation Scope Detection with Recurrent Neural Networks Models in Review Texts.
ICYCSEE (1)
Lydia Lazib, Yanyan Zhao, Bing Qin, Ting Liu
2016 — conf
SemEval-2016 Task 5: Aspect Based Sentiment Analysis.
SemEval@NAACL-HLT
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad Al-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia V. Loukachevitch, Evgeniy V. Kotelnikov, Núria Bel, Salud María Jiménez-Zafra, Gülsen Eryigit
2016 J jnl
Sentiment Embeddings with Applications to Sentiment Analysis.
IEEE Trans. Knowl. Data Eng.
Duyu Tang, Furu Wei, Bing Qin, Nan Yang, Ting Liu, Ming Zhou
2016 J jnl
Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog.
Multim. Tools Appl.
Yanyan Zhao, Bing Qin, Ting Liu, Duyu Tang
2016 J jnl
Topic hierarchy construction from heterogeneous evidence.
Frontiers Comput. Sci.
Han Xue, Bing Qin, Ting Liu, Shen Liu
2016 J jnl
Topical key concept extraction from folksonomy through graph-based ranking.
Multim. Tools Appl.
Han Xue, Bing Qin, Ting Liu
2016 J jnl
Truth Discovery with Memory Network.
CoRR
Luyang Li, Bing Qin, Wenjing Ren, Ting Liu
2015 J jnl
A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process.
Duyu Tang, Bing Qin, Furu Wei, Li Dong, Ting Liu, Ming Zhou
2015 J jnl
A Planning based Framework for Essay Generation.
CoRR
Duyu Tang, Bing Qin, Xinwei Geng, Dandan Ning, Jiahao Liu, Ting Liu
2015 J jnl
BUEES: a bottom-up event extraction system.
Frontiers Inf. Technol. Electron. Eng.
Xiao Ding, Bing Qin, Ting Liu
2015 J jnl
Creating a Fine-Grained Corpus for Chinese Sentiment Analysis.
IEEE Intell. Syst.
Yanyan Zhao, Bing Qin, Ting Liu
2015 J jnl
Deep learning for sentiment analysis: successful approaches and future challenges.
WIREs Data Mining Knowl. Discov.
Duyu Tang, Bing Qin, Ting Liu
2015 A* conf
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification.
EMNLP
Duyu Tang, Bing Qin, Ting Liu
2015 — conf
Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment.
ACL (1)
Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu
2015 — conf
Encoding World Knowledge in the Evaluation of Local Coherence.
HLT-NAACL
Muyu Zhang, Vanessa Wei Feng, Bing Qin, Graeme Hirst, Ting Liu, Jingwen Huang
2015 — conf
Generating Triples Based on Dependency Parsing for Contradiction Detection.
SMP
Luyang Li, Bing Qin, Ting Liu
2015 — conf
Learning Document Representation for Deceptive Opinion Spam Detection.
CCL
Luyang Li, Wenjing Ren, Bing Qin, Ting Liu
2015 J jnl
Learning Semantic Hierarchies: A Continuous Vector Space Approach.
IEEE ACM Trans. Audio Speech Lang. Process.
Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu
2015 — conf
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification.
ACL (1)
Duyu Tang, Bing Qin, Ting Liu
2015 J jnl
Open-categorical text classification based on multi-LDA models.
Soft Comput.
Ruiji Fu, Bing Qin, Ting Liu
2015 J jnl
Target-Dependent Sentiment Classification with Long Short Term Memory.
CoRR
Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu
2015 — conf
Transition-Based Syntactic Linearization.
HLT-NAACL
Yijia Liu, Yue Zhang, Wanxiang Che, Bing Qin
2015 A* conf
User Modeling with Neural Network for Review Rating Prediction.
IJCAI
Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang
2015 — conf
What Causes Different Emotion Distributions of a Hot Event? A Deep Event-Emotion Analysis System on Microblogs.
NLPCC
Yanyan Zhao, Bing Qin, Zhenjiang Dong, Hong Chen, Ting Liu
2014 A* conf
A Joint Segmentation and Classification Framework for Sentiment Analysis.
EMNLP
Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou
2014 — conf
Aspect-Object Alignment Using Integer Linear Programming.
NLPCC
Yanyan Zhao, Bing Qin, Ting Liu
2014 B conf
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach.
COLING
Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu
2014 — conf
Clustering Product Aspects Using Two Effective Aspect Relations for Opinion Mining.
CCL
Yanyan Zhao, Bing Qin, Ting Liu
2014 — conf
Coooolll: A Deep Learning System for Twitter Sentiment Classification.
SemEval@COLING
Duyu Tang, Furu Wei, Bing Qin, Ting Liu, Ming Zhou
2014 J jnl
Emotion Analysis Platform on Chinese Microblog.
CoRR
Duyu Tang, Bing Qin, Ting Liu, Qiuhui Shi
2014 J jnl
Generating Chinese named entity data from parallel corpora.
Frontiers Comput. Sci.
Ruiji Fu, Bing Qin, Ting Liu
2014 — conf
Learning Semantic Hierarchies via Word Embeddings.
ACL (1)
Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu
2014 — conf
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification.
ACL (1)
Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin
2014 B conf
Sentence Compression for Target-Polarity Word Collocation Extraction.
COLING
Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu
2014 B conf
Triple based Background Knowledge Ranking for Document Enrichment.
COLING
Muyu Zhang, Bing Qin, Ting Liu, Mao Zheng
2013 B conf
Building Chinese Event Type Paradigm Based on Trigger Clustering.
IJCNLP
Xiao Ding, Bing Qin, Ting Liu
2013 J jnl
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation.
CoRR
Duyu Tang, Bing Qin, Lanjun Zhou, Kam-Fai Wong, Yanyan Zhao, Ting Liu
2013 A* conf
Exploiting Multiple Sources for Open-Domain Hypernym Discovery.
EMNLP
Ruiji Fu, Bing Qin, Ting Liu
2013 C conf
Improving Candidate Generation for Entity Linking.
NLDB
Yuhang Guo, Bing Qin, Yuqin Li, Ting Liu, Sheng Li
2013 A* conf
Improving Web Search Ranking by Incorporating Structured Annotation of Queries.
EMNLP
Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen
2013 — conf
Learning Sentence Representation for Emotion Classification on Microblogs.
NLPCC
Duyu Tang, Bing Qin, Ting Liu, Zhenghua Li
2013 A* conf
Microblog Entity Linking by Leveraging Extra Posts.
EMNLP
Yuhang Guo, Bing Qin, Ting Liu, Sheng Li
2013 B conf
Topical Key Concept Extraction from Folksonomy.
IJCNLP
Han Xue, Bing Qin, Ting Liu, Chao Xiang
2012 J jnl
A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering.
Expert Syst. Appl.
Ruifang He, Bing Qin, Ting Liu
2012 — conf
Collocation Polarity Disambiguation Using Web-based Pseudo Contexts.
EMNLP-CoNLL
Yanyan Zhao, Bing Qin, Ting Liu
2012 — conf
HIT Approaches to Entity Linking at TAC 2012.
TAC
Yuhang Guo, Bing Qin, Ting Liu, Sheng Li
2011 J jnl
Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification.
Int. J. Comput. Process. Orient. Lang.
Yanyan Zhao, Bing Qin, Wanxiang Che, Ting Liu
2011 — conf
Coreference Resolution System using Maximum Entropy Classifier.
CoNLL Shared Task
Wei-Peng Chen, Muyu Zhang, Bing Qin
2011 B conf
Generating Chinese Named Entity Data from a Parallel Corpus.
IJCNLP
Ruiji Fu, Bing Qin, Ting Liu
2010 J jnl
Cascaded Regression Analysis Based Temporal Multi-document Summarization.
Informatica (Slovenia)
Ruifang He, Bing Qin, Ting Liu, Sheng Li
2010 — conf
Generalizing Syntactic Structures for Product Attribute Candidate Extraction.
HLT-NAACL
Yanyan Zhao, Bing Qin, Shen Hu, Ting Liu
2010 J jnl
The Comparison of SOM and K-means for Text Clustering.
Comput. Inf. Sci.
Yiheng Chen, Bing Qin, Ting Liu, Yuanchao Liu, Sheng Li
2009 — conf
Multilingual Dependency-based Syntactic and Semantic Parsing.
CoNLL Shared Task
Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin, Ting Liu
2009 J jnl
Unsupervised Coreference Resolution with HyperGraph Partitioning.
Comput. Inf. Sci.
Jun Lang, Bing Qin, Ting Liu, Sheng Li
2008 B conf
A Cascaded Syntactic and Semantic Dependency Parsing System.
CoNLL
Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li
2008 J jnl
A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression.
J. Chin. Lang. Comput.
Ruifang He, Bing Qin, Ting Liu, Yuequn Pan, Sheng Li
2008 — conf
HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence.
TAC
Ruifang He, Yang Liu, Bing Qin, Ting Liu, Sheng Li
2008 J jnl
Iterative Feedback Based Manifold-Ranking for Update Summary.
Polibits
Ruifang He, Bing Qin, Ting Liu, Yang Liu, Sheng Li
2008 — conf
Recommended or Not? Give Advice on Online Products.
FSKD (4)
Bing Qin, Yanyan Zhao, Leilei Gao, Ting Liu
2007 J jnl
Intra-document Coreference Resolution: The state of the art.
J. Chin. Lang. Comput.
Jun Lang, Bing Qin, Ting Liu, Sheng Li