Lidong Bing

353 papers A* 62A 11B 5C 1Journal 177Unranked 96
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation.
CoRR
Yibo Wang, Lei Wang, Yue Deng, Keming Wu, Yao Xiao, Huanjin Yao, Liwei Kang, Hai Ye, Yongcheng Jing, Lidong Bing
2026 J jnl
Document Reconstruction Unlocks Scalable Long-Context RLVR.
CoRR
Yao Xiao, Lei Wang, Yue Deng, Guanzheng Chen, Ziqi Jin, Jung-jae Kim, Xiaoli Li, Roy Ka-Wei Lee, Lidong Bing
2026 J jnl
EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning.
CoRR
Chuanrui Hu, Xingze Gao, Zuyi Zhou, Dannong Xu, Yi Bai, Xintong Li, Hui Zhang, Tong Li, Chong Zhang, Lidong Bing, Yafeng Deng
2026 J jnl
LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards.
CoRR
Guanzheng Chen, Michael Qizhe Shieh, Lidong Bing
2026 J jnl
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier.
CoRR
Zonglin Yang, Lidong Bing
2026 J jnl
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens.
CoRR
Yu Chen, Runkai Chen, Sheng Yi, Xinda Zhao, Xiaohong Li, Jianjin Zhang, Jun Sun, Chuanrui Hu, Yunyun Han, Lidong Bing, Yafeng Deng, Tianqiao Chen
2026 J jnl
MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome.
CoRR
Fangda Ye, Yuxin Hu, Pengxiang Zhu, Yibo Li, Ziqi Jin, Yao Xiao, Yibo Wang, Lei Wang, Zhen Zhang, Lu Wang, Yue Deng, Bin Wang, Yifan Zhang, Liangcai Su, Xinyu Wang, He Zhao, Chen Wei, Qiang Ren, Bryan Hooi, An Bo, Shuicheng Yan, Lidong Bing
2026 J jnl
MiroFlow: Towards High-Performance and Robust Open-Source Agent Framework for General Deep Research Tasks.
CoRR
Shiqian Su, Sen Xing, Xuan Dong, Muyan Zhong, Bin Wang, Xizhou Zhu, Yuntao Chen, Wenhai Wang, Yue Deng, Pengxiang Zhu, Ziyuan Liu, Tiantong Li, Jiaheng Yu, Zhe Chen, Lidong Bing, Jifeng Dai
2026 J jnl
Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models.
CoRR
Ziwei Luo, Ziqi Jin, Lei Wang, Lidong Bing, Thomas B. Schön
2026 A* conf
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning.
AAAI
Tiancheng Gu, Kaicheng Yang, Kaichen Zhang, Xiang An, Ziyong Feng, Yueyi Zhang, Weidong Cai, Jiankang Deng, Lidong Bing
2025 J jnl
100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models.
CoRR
Chong Zhang, Yue Deng, Xiang Lin, Bin Wang, Dianwen Ng, Hai Ye, Xingxuan Li, Yao Xiao, Zhanfeng Mo, Qi Zhang, Lidong Bing
2025 J jnl
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining.
CoRR
Wenqi Zhang, Hang Zhang, Xin Li, Jiashuo Sun, Yongliang Shen, Weiming Lu, Deli Zhao, Yueting Zhuang, Lidong Bing
2025 — conf
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.
NAACL (Long Papers)
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
2025 — conf
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations.
ACL (1)
Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong
2025 J jnl
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations.
CoRR
Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong
2025 — conf
Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions.
ACL (1)
Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Weiwen Xu, Deli Zhao, Lidong Bing
2025 J jnl
Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers.
CoRR
Yiran Zhao, Chaoqun Liu, Yue Deng, Jiahao Ying, Mahani Aljunied, Zhaodonghui Li, Lidong Bing, Hou Pong Chan, Yu Rong, Deli Zhao, Wenxuan Zhang
2025 A* conf
Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy.
CVPR
Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing
2025 — conf
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.
ACL (1)
Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing
2025 — conf
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents.
EMNLP (Findings)
Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Yu Rong, Deli Zhao, Tian Feng, Lidong Bing
2025 A* conf
ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark.
CVPR
Ronghao Dang, Yuqian Yuan, Wenqi Zhang, Yifei Xin, Boqiang Zhang, Long Li, Liuyi Wang, Qinyang Zeng, Xin Li, Lidong Bing
2025 J jnl
ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark.
CoRR
Ronghao Dang, Yuqian Yuan, Wenqi Zhang, Yifei Xin, Boqiang Zhang, Long Li, Liuyi Wang, Qinyang Zeng, Xin Li, Lidong Bing
2025 A* conf
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective.
ICML
Jianyu Wang, Zhiqiang Hu, Lidong Bing
2025 J jnl
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective.
CoRR
Jianyu Wang, Zhiqiang Hu, Lidong Bing
2025 J jnl
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving.
CoRR
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong
2025 — conf
Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization.
ACL (1)
Yao Xiao, Hai Ye, Linyao Chen, Hwee Tou Ng, Lidong Bing, Xiaoli Li, Roy Ka-Wei Lee
2025 J jnl
Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization.
CoRR
Yao Xiao, Hai Ye, Linyao Chen, Hwee Tou Ng, Lidong Bing, Xiaoli Li, Roy Ka-Wei Lee
2025 — conf
FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving.
ACL (1)
Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong
2025 J jnl
First Try Matters: Revisiting the Role of Reflection in Reasoning Models.
CoRR
Liwei Kang, Yue Deng, Yao Xiao, Zhanfeng Mo, Wee Sun Lee, Lidong Bing
2025 — conf
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
NAACL (Long Papers)
Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing
2025 A* conf
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization.
ICLR
Guanzheng Chen, Xin Li, Michael Shieh, Lidong Bing
2025 J jnl
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization.
CoRR
Guanzheng Chen, Xin Li, Michael Qizhe Shieh, Lidong Bing
2025 J jnl
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling.
CoRR
Zuhao Yang, Sudong Wang, Kaichen Zhang, Keming Wu, Sicong Leng, Yifan Zhang, Bo Li, Chengwei Qin, Shijian Lu, Xingxuan Li, Lidong Bing
2025 A* conf
M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework.
EMNLP
Yew Ken Chia, Liying Cheng, Hou Pong Chan, Maojia Song, Chaoqun Liu, Mahani Aljunied, Soujanya Poria, Lidong Bing
2025 J jnl
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources.
CoRR
Sicong Leng, Jing Wang, Jiaxi Li, Hao Zhang, Zhiqiang Hu, Boqiang Zhang, Yuming Jiang, Hang Zhang, Xin Li, Lidong Bing, Deli Zhao, Wei Lu, Yu Rong, Aixin Sun, Shijian Lu
2025 J jnl
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search.
CoRR
Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou
2025 J jnl
MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback.
CoRR
Wanhao Liu, Zonglin Yang, Jue Wang, Lidong Bing, Di Zhang, Dongzhan Zhou, Yuqiang Li, Houqiang Li, Erik Cambria, Wanli Ouyang
2025 J jnl
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization.
CoRR
Xingxuan Li, Yao Xiao, Dianwen Ng, Hai Ye, Yue Deng, Xiang Lin, Bin Wang, Zhanfeng Mo, Chong Zhang, Yueyi Zhang, Zonglin Yang, Ruilin Li, Lei Lei, Shihao Xu, Han Zhao, Weiling Chen, Feng Ji, Lidong Bing
2025 J jnl
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling.
CoRR
MiroMind Team, Song Bai, Lidong Bing, Carson Chen, Guanzheng Chen, Yuntao Chen, Zhe Chen, Ziyi Chen, Jifeng Dai, Xuan Dong, Wenhan Dou, Yue Deng, Yunjie Fu, Junqi Ge, Chenxia Han, Tammy Huang, Zhenhang Huang, Jerry Jiao, Shilei Jiang, Tianyu Jiao, Xiaoqi Jian, Lei Lei, Ruilin Li, Ryan Luo, Tiantong Li, Xiang Lin, Ziyuan Liu, Zhiqi Li, Jie Ni, Qiang Ren, Pax Sun, Shiqian Su, Chenxin Tao, Bin Wang, Hellen Wang, Haonan Wang, James Wang, Jin Wang, Jojo Wang, Letian Wang, Shizun Wang, Weizhi Wang, Zixuan Wang, Jinfan Xu, Sen Xing, Chenyu Yang, Hai Ye, Jiaheng Yu, Yue Yu, Muyan Zhong, Tianchen Zhao, Xizhou Zhu, Yanpeng Zhou, Yifan Zhang, Zhi Zhu
2025 J jnl
Multi-Agent Tool-Integrated Policy Optimization.
CoRR
Zhanfeng Mo, Xingxuan Li, Yuntao Chen, Lidong Bing
2025 — conf
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs.
NAACL (Findings)
Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam
2025 J jnl
On the Role of Difficult Prompts in Self-Play Preference Optimization.
CoRR
Yao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, Lidong Bing
2025 J jnl
On the Role of Discreteness in Diffusion LLMs.
CoRR
Ziqi Jin, Bin Wang, Xiang Lin, Lidong Bing, Aixin Sun
2025 J jnl
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe.
CoRR
Kaichen Zhang, Keming Wu, Zuhao Yang, Bo Li, Kairui Hu, Bin Wang, Ziwei Liu, Xingxuan Li, Lidong Bing
2025 — conf
ParaICL: Towards Parallel In-Context Learning.
NAACL (Long Papers)
Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing
2025 — conf
Pruning General Large Language Models into Customized Expert Models.
ACL (Findings)
Yiran Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang
2025 J jnl
Pruning General Large Language Models into Customized Expert Models.
CoRR
Yirao Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang
2025 — conf
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia.
NAACL (Findings)
Chaoqun Liu, Wenxuan Zhang, Jiahao Ying, Mahani Aljunied, Anh Tuan Luu, Lidong Bing
2025 J jnl
SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia.
CoRR
Chaoqun Liu, Wenxuan Zhang, Jiahao Ying, Mahani Aljunied, Anh Tuan Luu, Lidong Bing
2025 — conf
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
NAACL (System Demonstrations)
Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing
2025 J jnl
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning.
CoRR
Tiancheng Gu, Kaicheng Yang, Kaichen Zhang, Xiang An, Ziyong Feng, Yueyi Zhang, Tom Weidong Cai, Jiankang Deng, Lidong Bing
2025 J jnl
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.
CoRR
Boqiang Zhang, Kehan Li, Zesen Cheng, Zhiqiang Hu, Yuqian Yuan, Guanzheng Chen, Sicong Leng, Yuming Jiang, Hang Zhang, Xin Li, Peng Jin, Wenqi Zhang, Fan Wang, Lidong Bing, Deli Zhao
2025 A* conf
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM.
CVPR
Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang, Long Li, Xin Li, Deli Zhao, Wenqiao Zhang, Yueting Zhuang, Jianke Zhu, Lidong Bing
2025 J jnl
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM.
CoRR
Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang, Long Li, Xin Li, Deli Zhao, Wenqiao Zhang, Yueting Zhuang, Jianke Zhu, Lidong Bing
2025 B conf
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
COLING
Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing
2024 A* conf
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation.
EMNLP
Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing
2024 J jnl
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation.
CoRR
Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing
2024 J jnl
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging.
CoRR
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
2024 J jnl
Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions.
CoRR
Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Deli Zhao, Lidong Bing
2024 J jnl
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss.
CoRR
Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing
2024 A* conf
CLEX: Continuous Length Extrapolation for Large Language Models.
ICLR
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
2024 J jnl
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.
CoRR
Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing
2024 J jnl
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models.
CoRR
Yew Ken Chia, Qi Sun, Lidong Bing, Soujanya Poria
2024 J jnl
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents.
CoRR
Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Deli Zhao, Yu Rong, Tian Feng, Lidong Bing
2024 A* conf
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.
ICLR
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing
2024 — conf
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
ACL (1)
Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing
2024 A* conf
Evaluating Psychological Safety of Large Language Models.
EMNLP
Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing
2024 — conf
Exploring the Potential of Large Language Models in Computational Argumentation.
ACL (1)
Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing
2024 A* conf
How do Large Language Models Handle Multilingualism?
NeurIPS
Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing
2024 J jnl
How do Large Language Models Handle Multilingualism?
CoRR
Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing
2024 J jnl
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models.
CoRR
Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing
2024 J jnl
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
CoRR
Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
2024 J jnl
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency.
Proc. VLDB Endow.
Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
2024 — conf
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning.
NAACL-HLT
Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing
2024 J jnl
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework.
CoRR
Yew Ken Chia, Liying Cheng, Hou Pong Chan, Chaoqun Liu, Maojia Song, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing
2024 — conf
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
EMNLP (Findings)
Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
2024 J jnl
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.
CoRR
Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
2024 A* conf
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.
CVPR
Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing
2024 A* conf
Multilingual Jailbreak Challenges in Large Language Models.
ICLR
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
2024 — conf
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition.
ACL (1)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
2024 J jnl
ParaICL: Towards Robust Parallel In-Context Learning.
CoRR
Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing
2024 — conf
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns.
ACL (Findings)
Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria
2024 J jnl
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns.
CoRR
Yew Ken Chia, Vernon Toh Yan Han, Deepanway Ghosal, Lidong Bing, Soujanya Poria
2024 — conf
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths.
EMNLP (Findings)
Yew Ken Chia, Guizhen Chen, Weiwen Xu, Anh Tuan Luu, Soujanya Poria, Lidong Bing
2024 J jnl
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths.
CoRR
Yew Ken Chia, Guizhen Chen, Weiwen Xu, Luu Anh Tuan, Soujanya Poria, Lidong Bing
2024 — conf
SeaLLMs - Large Language Models for Southeast Asia.
ACL (3)
Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing
2024 J jnl
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages.
CoRR
Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing
2024 — conf
Sentiment Analysis in the Era of Large Language Models: A Reality Check.
NAACL-HLT (Findings)
Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing
2024 A* conf
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective.
NeurIPS
Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing
2024 J jnl
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective.
CoRR
Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing
2024 J jnl
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio.
CoRR
Sicong Leng, Yun Xing, Zesen Cheng, Yang Zhou, Hang Zhang, Xin Li, Deli Zhao, Shijian Lu, Chunyan Miao, Lidong Bing
2024 — conf
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning.
ACL (Findings)
Qingyu Tan, Hwee Tou Ng, Lidong Bing
2024 J jnl
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.
CoRR
Zesen Cheng, Sicong Leng, Hang Zhang, Yifei Xin, Xin Li, Guanzheng Chen, Yongxin Zhu, Wenqi Zhang, Ziyang Luo, Deli Zhao, Lidong Bing
2024 J jnl
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
CoRR
Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing
2023 — conf
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization.
EMNLP (Findings)
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
2023 J jnl
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization.
CoRR
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
2023 J jnl
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.
IEEE Trans. Knowl. Data Eng.
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam
2023 — conf
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.
ACL (Findings)
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
2023 J jnl
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.
CoRR
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
2023 J jnl
Are Large Language Models Good Evaluators for Abstractive Summarization?
CoRR
Chenhui Shen, Liying Cheng, Yang You, Lidong Bing
2023 J jnl
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition.
CoRR
Lu Xu, Lidong Bing, Wei Lu
2023 — conf
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis.
ACL (1)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
2023 J jnl
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis.
CoRR
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
2023 J jnl
CLEX: Continuous Length Extrapolation for Large Language Models.
CoRR
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
2023 J jnl
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines.
CoRR
Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing
2023 J jnl
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.
CoRR
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria
2023 — conf
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data.
ACL (Findings)
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng
2023 J jnl
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data.
CoRR
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng
2023 J jnl
Contrastive Chain-of-Thought Prompting.
CoRR
Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing
2023 J jnl
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.
CoRR
Xuan-Phi Nguyen, Sharifah Mahani Aljunied, Shafiq Joty, Lidong Bing
2023 J jnl
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction.
CoRR
Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing
2023 — conf
Easy-to-Hard Learning for Information Extraction.
ACL (Findings)
Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing
2023 J jnl
Easy-to-Hard Learning for Information Extraction.
CoRR
Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing
2023 — conf
Enhancing Cross-lingual Prompting with Dual Prompt Augmentation.
ACL (Findings)
Meng Zhou, Xin Li, Yue Jiang, Lidong Bing
2023 J jnl
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation.
CoRR
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
2023 J jnl
Exploring the Potential of Large Language Models in Computational Argumentation.
CoRR
Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing
2023 A* conf
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader.
NeurIPS
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing
2023 — conf
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
ACL (Findings)
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu
2023 J jnl
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction.
CoRR
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing
2023 J jnl
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models.
CoRR
Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria
2023 — conf
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning.
ACL (1)
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
2023 J jnl
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning.
CoRR
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
2023 — conf
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.
ACL (1)
Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua
2023 J jnl
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling.
CoRR
Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua
2023 — conf
Is GPT-3 a Good Data Annotator?
ACL (1)
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing
2023 — conf
Is GPT-4 a Good Data Analyst?
EMNLP (Findings)
Liying Cheng, Xingxuan Li, Lidong Bing
2023 J jnl
Is GPT-4 a Good Data Analyst?
CoRR
Liying Cheng, Xingxuan Li, Lidong Bing
2023 A* conf
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
EMNLP
Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee
2023 J jnl
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
CoRR
Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria
2023 — conf
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization.
EMNLP (Findings)
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
2023 A* conf
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
NeurIPS
Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing
2023 J jnl
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models.
CoRR
Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing
2023 J jnl
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.
CoRR
Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing
2023 J jnl
Multilingual Jailbreak Challenges in Large Language Models.
CoRR
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
2023 J jnl
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs.
CoRR
Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam
2023 A* conf
On the Effectiveness of Parameter-Efficient Fine-Tuning.
AAAI
Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier
2023 A* conf
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning.
EMNLP
Sen Yang, Xin Li, Lidong Bing, Wai Lam
2023 J jnl
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning.
CoRR
Sen Yang, Xin Li, Lidong Bing, Wai Lam
2023 — conf
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks.
ACL (1)
Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing
2023 — conf
Reasoning Implicit Sentiment with Chain-of-Thought Prompting.
ACL (2)
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua
2023 J jnl
Reasoning Implicit Sentiment with Chain-of-Thought Prompting.
CoRR
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua
2023 A* conf
SOUL: Towards Sentiment and Opinion Understanding of Language.
EMNLP
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
2023 J jnl
SOUL: Towards Sentiment and Opinion Understanding of Language.
CoRR
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
2023 — conf
Sampling Better Negatives for Distantly Supervised Named Entity Recognition.
ACL (Findings)
Lu Xu, Lidong Bing, Wei Lu
2023 J jnl
SeaLLMs - Large Language Models for Southeast Asia.
CoRR
Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing
2023 J jnl
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models.
CoRR
Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing
2023 J jnl
Sentiment Analysis in the Era of Large Language Models: A Reality Check.
CoRR
Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing
2023 — conf
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models.
ACL (1)
Qingyu Tan, Hwee Tou Ng, Lidong Bing
2023 J jnl
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models.
CoRR
Qingyu Tan, Hwee Tou Ng, Lidong Bing
2023 A conf
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction.
EACL
Jia Guo, Stanley Kok, Lidong Bing
2023 J jnl
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction.
CoRR
Jia Guo, Stanley Kok, Lidong Bing
2023 — conf
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.
ACL (1)
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing
2023 J jnl
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning.
CoRR
Qingyu Tan, Hwee Tou Ng, Lidong Bing
2023 J jnl
Unlocking Temporal Question Answering for Large Language Models Using Code Execution.
CoRR
Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing
2023 — conf
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.
ACL (1)
Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing
2023 J jnl
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.
CoRR
Ruochen Zhao, Xingxuan Li, Shafiq R. Joty, Chengwei Qin, Lidong Bing
2023 — conf
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
EMNLP (Demos)
Hang Zhang, Xin Li, Lidong Bing
2023 J jnl
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.
CoRR
Hang Zhang, Xin Li, Lidong Bing
2023 — conf
Zero-Shot Text Classification via Self-Supervised Tuning.
ACL (Findings)
Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing
2023 J jnl
Zero-Shot Text Classification via Self-Supervised Tuning.
CoRR
Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing
2023 — conf
mPMR: A Multilingual Pre-trained Machine Reader at Scale.
ACL (2)
Weiwen Xu, Xin Li, Wai Lam, Lidong Bing
2023 J jnl
mPMR: A Multilingual Pre-trained Machine Reader at Scale.
CoRR
Weiwen Xu, Xin Li, Wai Lam, Lidong Bing
2022 A* conf
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.
EMNLP
Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria
2022 J jnl
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.
CoRR
Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria
2022 J jnl
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges.
CoRR
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam
2022 A* conf
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction.
EMNLP
Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing
2022 J jnl
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions.
CoRR
Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing
2022 A* conf
ConNER: Consistency Training for Cross-lingual Named Entity Recognition.
EMNLP
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022 J jnl
ConNER: Consistency Training for Cross-lingual Named Entity Recognition.
CoRR
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022 — conf
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation.
ACL (Findings)
Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng
2022 J jnl
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation.
CoRR
Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng
2022 B conf
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning.
COLING
Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng
2022 J jnl
Enhancing Cross-lingual Prompting with Mask Token Augmentation.
CoRR
Meng Zhou, Xin Li, Yue Jiang, Lidong Bing
2022 A* conf
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples.
EMNLP
Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si
2022 J jnl
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader.
CoRR
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si
2022 — conf
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
ACL (1)
Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao
2022 — conf
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.
ACL (1)
Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si
2022 J jnl
IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks.
CoRR
Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si
2022 J jnl
Informative Text Generation from Knowledge Triples.
CoRR
Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam
2022 A* conf
Interventional Training for Out-Of-Distribution Natural Language Understanding.
EMNLP
Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing
2022 J jnl
Is GPT-3 a Good Data Annotator?
CoRR
Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li
2022 J jnl
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective.
CoRR
Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, Shafiq R. Joty
2022 — conf
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER.
ACL (1)
Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2022 — conf
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation.
ACL (Findings)
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
2022 J jnl
On the Effectiveness of Parameter-Efficient Fine-Tuning.
CoRR
Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier
2022 J jnl
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks.
CoRR
Weiwen Xu, Xin Li, Yang Deng, Lidong Bing, Wai Lam
2022 — conf
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
ACL (Findings)
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si
2022 J jnl
RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
CoRR
Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si
2022 A* conf
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation.
EMNLP
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam
2022 J jnl
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation.
CoRR
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam
2022 A* conf
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction.
EMNLP
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied
2022 J jnl
Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction.
CoRR
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng
2022 B conf
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning.
COLING
Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing
2022 J jnl
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning.
CoRR
Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing
2022 A* conf
SentBS: Sentence-level Beam Search for Controllable Summarization.
EMNLP
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si
2022 J jnl
SentBS: Sentence-level Beam Search for Controllable Summarization.
CoRR
Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si
2022 B conf
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings.
COLING
Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si
2022 J jnl
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.
CoRR
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si
2021 J jnl
Affect Recognition for Multimodal Natural Language Processing.
Cogn. Comput.
Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing
2021 — conf
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding.
ACL/IJCNLP (1)
Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si
2021 — conf
Aspect Sentiment Quad Prediction as Paraphrase Generation.
EMNLP (1)
Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam
2021 J jnl
Aspect Sentiment Quad Prediction as Paraphrase Generation.
CoRR
Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam
2021 — conf
Aspect-based Sentiment Analysis in Question Answering Forums.
EMNLP (Findings)
Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam
2021 — conf
Better Feature Integration for Named Entity Recognition.
NAACL-HLT
Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing
2021 J jnl
Better Feature Integration for Named Entity Recognition.
CoRR
Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing
2021 — conf
Bootstrapped Unsupervised Sentence Representation Learning.
ACL/IJCNLP (1)
Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li
2021 — conf
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching.
EMNLP (1)
Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam
2021 A* conf
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning.
AAAI
Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu
2021 J jnl
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems.
CoRR
Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Aljunied Mahani, Shafiq R. Joty, Luo Si, Chunyan Miao
2021 J jnl
Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce.
Neurocomputing
Yongzhen Wang, Kaisong Song, Lidong Bing, Xiaozhong Liu
2021 J jnl
Knowledge Based Multilingual Language Model.
CoRR
Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si
2021 — conf
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction.
ACL/IJCNLP (1)
Lu Xu, Yew Ken Chia, Lidong Bing
2021 J jnl
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction.
CoRR
Lu Xu, Yew Ken Chia, Lidong Bing
2021 J jnl
MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER.
CoRR
Ran Zhou, Ruidan He, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
2021 J jnl
MReD: A Meta-Review Dataset for Controllable Text Generation.
CoRR
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
2021 — conf
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER.
ACL/IJCNLP (1)
Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao
2021 — conf
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews.
ACL/IJCNLP (1)
Junhao Liu, Zhen Hai, Min Yang, Lidong Bing
2021 — conf
Multilingual AMR Parsing with Noisy Knowledge Distillation.
EMNLP (Findings)
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam
2021 J jnl
Multilingual AMR Parsing with Noisy Knowledge Distillation.
CoRR
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam
2021 — conf
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.
ACL/IJCNLP (1)
Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si
2021 J jnl
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation.
CoRR
Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si
2021 — conf
Overview of Argumentative Text Understanding for AI Debater Challenge.
NLPCC (2)
Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang
2021 — conf
Towards Generative Aspect-Based Sentiment Analysis.
ACL/IJCNLP (2)
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam
2021 J jnl
Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings.
CoRR
Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si
2020 — conf
APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning.
EMNLP (1)
Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si
2020 — conf
An Unsupervised Sentence Embedding Method by Mutual Information Maximization.
EMNLP (1)
Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing
2020 J jnl
An Unsupervised Sentence Embedding Method byMutual Information Maximization.
CoRR
Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing
2020 — conf
Aspect Sentiment Classification with Aspect-Specific Opinion Spans.
EMNLP (1)
Lu Xu, Lidong Bing, Wei Lu, Fei Huang
2020 J jnl
Aspect Sentiment Classification with Aspect-Specific Opinion Spans.
CoRR
Lu Xu, Lidong Bing, Wei Lu, Fei Huang
2020 A* conf
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce.
AAAI
Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan
2020 J jnl
Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce.
CoRR
Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan
2020 J jnl
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks.
CoRR
Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao
2020 — conf
DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks.
EMNLP (1)
Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao
2020 B conf
Dynamic Topic Tracker for KB-to-Text Generation.
COLING
Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel
2020 — conf
ENT-DESC: Entity Description Generation by Exploring Knowledge Graph.
EMNLP (1)
Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si
2020 J jnl
FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks.
ACM Trans. Soc. Comput.
Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang
2020 J jnl
Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification.
CoRR
Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing
2020 — conf
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training.
EMNLP (1)
Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing
2020 A* conf
GRET: Global Representation Enhanced Transformer.
AAAI
Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen
2020 J jnl
GRET: Global Representation Enhanced Transformer.
CoRR
Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen
2020 A* conf
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling.
ACL
Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Aljunied Mahani, Lidong Bing
2020 A* conf
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis.
AAAI
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
2020 J jnl
Knowledge Graph Empowered Entity Description Generation.
CoRR
Liying Cheng, Yan Zhang, Dekun Wu, Zhanming Jie, Lidong Bing, Wei Lu, Luo Si
2020 — conf
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
EMNLP (1)
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
2020 J jnl
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation.
CoRR
Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing
2020 A* conf
Open Domain Event Text Generation.
AAAI
Zihao Fu, Lidong Bing, Wai Lam
2020 — conf
Partially-Aligned Data-to-Text Generation with Distant Supervision.
EMNLP (1)
Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu
2020 J jnl
Partially-Aligned Data-to-Text Generation with Distant Supervision.
CoRR
Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu
2020 — conf
Position-Aware Tagging for Aspect Sentiment Triplet Extraction.
EMNLP (1)
Lu Xu, Hao Li, Wei Lu, Lidong Bing
2020 J jnl
Position-Aware Tagging for Aspect Sentiment Triplet Extraction.
CoRR
Lu Xu, Hao Li, Wei Lu, Lidong Bing
2020 A* conf
Review-based Question Generation with Adaptive Instance Transfer and Augmentation.
ACL
Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si
2020 J jnl
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization.
CoRR
Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam
2020 J jnl
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond.
CoRR
Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam
2020 A* conf
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model.
IJCAI
Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan
2020 J jnl
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model.
CoRR
Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan
2020 — conf
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning.
AACL/IJCNLP
Zihao Fu, Bei Shi, Lidong Bing, Wai Lam
2019 — conf
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis.
EMNLP/IJCNLP (1)
Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao
2019 A* conf
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction.
AAAI
Xin Li, Lidong Bing, Piji Li, Wai Lam
2019 A* conf
Abstractive Text Summarization by Incorporating Reader Comments.
AAAI
Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan
2019 — conf
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction.
NAACL-HLT (1)
Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King
2019 J jnl
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction.
CoRR
Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King
2019 A* conf
Difficulty Controllable Generation of Reading Comprehension Questions.
IJCAI
Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King
2019 — conf
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis.
W-NUT@EMNLP
Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam
2019 J jnl
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis.
CoRR
Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam
2019 A* conf
Generating Distractors for Reading Comprehension Questions from Real Examinations.
AAAI
Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu
2019 — conf
Hierarchical Pointer Net Parsing.
EMNLP/IJCNLP (1)
Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing
2019 J jnl
Hierarchical Pointer Net Parsing.
CoRR
Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing
2019 — conf
Improving Question Generation With to the Point Context.
EMNLP/IJCNLP (1)
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu
2019 J jnl
Improving Question Generation With to the Point Context.
CoRR
Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu
2019 J jnl
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis.
CoRR
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si
2019 A* conf
Learning to Write Stories with Thematic Consistency and Wording Novelty.
AAAI
Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan
2019 J jnl
Persona-Aware Tips Generation.
CoRR
Piji Li, Zihao Wang, Lidong Bing, Wai Lam
2019 A* conf
Persona-Aware Tips Generation?
WWW
Piji Li, Zihao Wang, Lidong Bing, Wai Lam
2019 J jnl
Review-based Question Generation with Adaptive Instance Transfer and Augmentation.
CoRR
Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si
2019 — conf
Semi-supervised Text Style Transfer: Cross Projection in Latent Space.
EMNLP/IJCNLP (1)
Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan
2019 J jnl
Semi-supervised Text Style Transfer: Cross Projection in Latent Space.
CoRR
Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan
2019 — conf
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion.
EMNLP/IJCNLP (1)
Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam
2019 J jnl
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion.
CoRR
Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam
2019 — conf
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
EMNLP/IJCNLP (1)
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
2019 J jnl
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
CoRR
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
2019 — conf
Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning.
EMNLP/IJCNLP (1)
Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qi Zhang
2019 — conf
Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations.
EMNLP/IJCNLP (1)
Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan
2018 J jnl
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction.
CoRR
Xin Li, Lidong Bing, Piji Li, Wai Lam
2018 J jnl
Abstractive Text Summarization by Incorporating Reader Comments.
CoRR
Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan
2018 J jnl
Actor-Critic based Training Framework for Abstractive Summarization.
CoRR
Piji Li, Lidong Bing, Wai Lam
2018 A* conf
Aspect Term Extraction with History Attention and Selective Transformation.
IJCAI
Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang
2018 J jnl
Aspect Term Extraction with History Attention and Selective Transformation.
CoRR
Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang
2018 J jnl
Difficulty Controllable Question Generation for Reading Comprehension.
CoRR
Yifan Gao, Jianan Wang, Lidong Bing, Irwin King, Michael R. Lyu
2018 A* conf
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models.
EMNLP
Thanapon Noraset, Doug Downey, Lidong Bing
2018 J jnl
Generating Distractors for Reading Comprehension Questions from Real Examinations.
CoRR
Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu
2018 A* conf
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates.
EMNLP
Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu
2018 J jnl
Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing.
CoRR
Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang
2018 J jnl
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks.
ACM Trans. Inf. Syst.
Yi Liao, Wai Lam, Lidong Bing, Xin Shen
2018 — conf
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings.
ACL (1)
Bei Shi, Zihao Fu, Lidong Bing, Wai Lam
2018 J jnl
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings.
CoRR
Bei Shi, Zihao Fu, Lidong Bing, Wai Lam
2018 J jnl
Learning a unified embedding space of web search from large-scale query log.
Knowl. Based Syst.
Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, Haifeng Wang
2018 A* conf
QuaSE: Sequence Editing under Quantifiable Guidance.
EMNLP
Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang
2018 A* conf
Semi-Supervised Learning with Declaratively Specified Entropy Constraints.
NeurIPS
Haitian Sun, William W. Cohen, Lidong Bing
2018 J jnl
Semi-Supervised Learning with Declaratively Specified Entropy Constraints.
CoRR
Haitian Sun, William W. Cohen, Lidong Bing
2018 — conf
Transformation Networks for Target-Oriented Sentiment Classification.
ACL (1)
Xin Li, Lidong Bing, Wai Lam, Bei Shi
2018 J jnl
Transformation Networks for Target-Oriented Sentiment Classification.
CoRR
Xin Li, Lidong Bing, Wai Lam, Bei Shi
2018 A* conf
Variational Autoregressive Decoder for Neural Response Generation.
EMNLP
Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang
2017 A* conf
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora.
AAAI
Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
2017 A* conf
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization.
EMNLP
Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li
2017 A* conf
Deep Recurrent Generative Decoder for Abstractive Text Summarization.
EMNLP
Piji Li, Wai Lam, Lidong Bing, Zihao Wang
2017 J jnl
Deep Recurrent Generative Decoder for Abstractive Text Summarization.
CoRR
Piji Li, Wai Lam, Lidong Bing, Zihao Wang
2017 A* conf
Neural Rating Regression with Abstractive Tips Generation for Recommendation.
SIGIR
Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam
2017 J jnl
Neural Rating Regression with Abstractive Tips Generation for Recommendation.
CoRR
Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam
2017 — conf
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset.
NFiS@EMNLP
Piji Li, Lidong Bing, Wai Lam
2017 J jnl
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset.
CoRR
Piji Li, Lidong Bing, Wai Lam
2017 A* conf
Recurrent Attention Network on Memory for Aspect Sentiment Analysis.
EMNLP
Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang
2017 A* conf
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization.
AAAI
Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing
2017 J jnl
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern.
Knowl. Based Syst.
Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen
2017 A* conf
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
IJCAI
Lidong Bing, William W. Cohen, Bhuwan Dhingra
2017 J jnl
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning.
CoRR
Lidong Bing, William W. Cohen, Bhuwan Dhingra
2016 J jnl
Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora.
CoRR
Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
2016 — conf
CUIS at the NTCIR-12 MobileClick2 Task.
NTCIR
Kwun Ping Lai, Wai Lam, Lidong Bing
2016 — conf
Detecting Common Discussion Topics Across Culture From News Reader Comments.
ACL (1)
Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu
2016 A conf
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity.
CIKM
Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu
2016 A* conf
Distant IE by Bootstrapping Using Lists and Document Structure.
AAAI
Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen
2016 J jnl
Distant IE by Bootstrapping Using Lists and Document Structure.
CoRR
Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen
2016 A* conf
Efficient and Scalable Detection of Overlapping Communities in Big Networks.
ICDM
Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang
2016 — conf
Learning a Semantic Space of Web Search via Session Data.
AIRS
Lidong Bing, Zheng-Yu Niu, Wai Lam, Haifeng Wang
2016 J jnl
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews.
ACM Trans. Internet Techn.
Lidong Bing, Tak-Lam Wong, Wai Lam
2016 — conf
Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction.
AKBC@NAACL-HLT
Lidong Bing, William W. Cohen, Bhuwan Dhingra, Richard C. Wang
2015 A conf
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.
CIKM
Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing
2015 — conf
Abstractive Multi-Document Summarization via Phrase Selection and Merging.
ACL (1)
Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau
2015 J jnl
Abstractive Multi-Document Summarization via Phrase Selection and Merging.
CoRR
Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau
2015 J jnl
Adaptive Concept Resolution for document representation and its applications in text mining.
Knowl. Based Syst.
Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel
2015 A* conf
Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists.
EMNLP
Lidong Bing, Sneha Chaudhari, Richard C. Wang, William W. Cohen
2015 — conf
Multilingual Viewpoint Detection from news comments.
IALP
Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu
2015 A conf
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers.
ECIR
Shoaib Jameel, Wai Lam, Lidong Bing
2015 A* conf
Reader-Aware Multi-Document Summarization via Sparse Coding.
IJCAI
Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao
2015 J jnl
Reader-Aware Multi-Document Summarization via Sparse Coding.
CoRR
Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao
2015 J jnl
Supervised topic models with word order structure for document classification and retrieval learning.
Inf. Retr. J.
Shoaib Jameel, Wai Lam, Lidong Bing
2015 J jnl
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context.
ACM Trans. Inf. Syst.
Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel
2014 A* conf
Web page segmentation with structured prediction and its application in web page classification.
SIGIR
Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu, Haifeng Wang
2014 — conf
Website Community Mining from Query Logs with Two-Phase Clustering.
CICLing (2)
Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu
2013 J jnl
Robust detection of semi-structured web records using a DOM structure-knowledge-driven model.
ACM Trans. Web
Lidong Bing, Wai Lam, Tak-Lam Wong
2013 A conf
Structured positional entity language model for enterprise entity retrieval.
CIKM
Chunliang Lu, Lidong Bing, Wai Lam
2013 A conf
Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias.
CIKM
Shan Jiang, Lidong Bing, Yan Zhang
2013 J jnl
Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data.
Int. J. Comput. Linguistics Appl.
Chunliang Lu, Lidong Bing, Wai Lam, Ki Chan, Yuan Gu
2013 A conf
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning.
WSDM
Lidong Bing, Wai Lam, Tak-Lam Wong
2012 — —
Information discovery from semi-structured record sets on the Web.
Lidong Bing
2012 — conf
Unsupervised Extraction of Popular Product Attributes from Web Sites.
AIRS
Lidong Bing, Tak-Lam Wong, Wai Lam
2011 A conf
Normalizing web product attributes and discovering domain ontology with minimal effort.
WSDM
Tak-Lam Wong, Lidong Bing, Wai Lam
2011 A* conf
Ontology enhancement and concept granularity learning: keeping yourself current and adaptive.
KDD
Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam
2011 A conf
Towards a unified solution: data record region detection and segmentation.
CIKM
Lidong Bing, Wai Lam, Yuan Gu
2011 A conf
Using query log and social tagging to refine queries based on latent topics.
CIKM
Lidong Bing, Wai Lam, Tak-Lam Wong
2010 A conf
Learning ontology resolution for document representation and its applications in text mining.
CIKM
Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, Wai Lam
2008 C conf
Primary content extraction with Mountain Model.
CIT
Lidong Bing, Yexin Wang, Yan Zhang, Hui Wang
2008 — conf
Weighting Links Using Lexical and Positional Analysis in Web Ranking.
WAIM
Yi Zhang, Yexin Wang, Lidong Bing, Yan Zhang
2007 — conf
LET: Towards More Precise Clustering of Search Results.
FSKD (2)
Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang