Jun Zhao

496 papers A* 71A 17B 28C 1Misc 3Journal 175Unranked 198
YearRankTypeTitle / Venue / Authors
2026 J jnl
ASDE: Low-budget text classification via active semi-supervised learning with debiasing training mechanism.
Inf. Process. Manag.
Yubo Chen, Tong Zhou, Daojian Zeng, Sirui Li, Kang Liu, Jun Zhao
2026 A* conf
Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning.
AAAI
Sirui Liang, Pengfei Cao, Jian Zhao, Cong Huang, Jun Zhao, Kang Liu
2026 J jnl
GraphWalker: Agentic Knowledge Graph Question Answering via Synthetic Trajectory Curriculum.
CoRR
Shuwen Xu, Yao Xu, Jiaxiang Liu, Chenhao Yuan, Wenshuo Peng, Jun Zhao, Kang Liu
2026 J jnl
Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory.
CoRR
Sirui Liang, Pengfei Cao, Jian Zhao, Wenhao Teng, Xiangwen Liao, Jun Zhao, Kang Liu
2026 J jnl
MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning.
CoRR
Jiachun Li, Shaoping Huang, Zhuoran Jin, Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2026 J jnl
One mind, many tongues: A deep dive into language-agnostic knowledge neurons in large language models.
Artif. Intell.
Pengfei Cao, Yuheng Chen, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2026 J jnl
ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning.
CoRR
Huanxuan Liao, Zhongtao Jiang, Yupu Hao, Yuqiao Tan, Shizhu He, Ben Wang, Jun Zhao, Kun Xu, Kang Liu
2026 A* conf
RetroLM: Retrieval-Augmented KVs for Long-Context Processing.
AAAI
Kun Luo, Zheng Liu, Shitao Xiao, Jiabei Chen, Hongjin Qian, Peitian Zhang, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
2026 J jnl
SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models.
CoRR
Pengfei Cao, Ming-Hsuan Yang, Yubo Chen, Chenlong Zhang, Mingxuan Liu, Kang Liu, Jun Zhao
2026 A* conf
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning.
AAAI
Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2026 A* conf
TaREx: Reinforcement Learning for Code-Driven Table Reasoning.
AAAI
Fangyu Lei, Jinxiang Meng, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
2026 J jnl
Think While Watching: Online Streaming Segment-Level Memory for Multi-Turn Video Reasoning in Multimodal Large Language Models.
CoRR
Lu Wang, Zhuoran Jin, Yupu Hao, Yubo Chen, Kang Liu, Yulong Ao, Jun Zhao
2026 J jnl
Uncovering Ontology Knowledge in Large Language Models.
Data Intell.
Xiaotong Qin, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2026 J jnl
WideSeek: Advancing Wide Research via Multi-Agent Scaling.
CoRR
Ziyang Huang, Haolin Ren, Xiaowei Yuan, Jiawei Wang, Zhongtao Jiang, Kun Xu, Shizhu He, Jun Zhao, Kang Liu
2025 J jnl
A Survey of Recent Advances in Commonsense Knowledge Acquisition: Methods and Resources.
Int. J. Autom. Comput.
Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns.
ACL (1)
Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework.
CoRR
Ao Chang, Tong Zhou, Yubo Chen, Delai Qiu, Shengping Liu, Kang Liu, Jun Zhao
2025 — conf
Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents.
ACL (1)
Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents.
CoRR
Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN.
CoRR
Yao Xu, Mingyu Xu, Fangyu Lei, Wangtao Sun, Xiangrong Zeng, Bingning Wang, Guang Liu, Shizhu He, Jun Zhao, Kang Liu
2025 B conf
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering.
COLING
Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao
2025 J jnl
Better wit than wealth: Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement.
CoRR
Yuqiao Tan, Shizhu He, Huanxuan Liao, Jun Zhao, Kang Liu
2025 J jnl
Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention.
CoRR
Huanxuan Liao, Wen Hu, Yao Xu, Shizhu He, Jun Zhao, Kang Liu
2025 — conf
Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models.
CCL
Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Xuanqing Yu, Ziyang Huang, Haotian Xu, Shizhu He, Jun Zhao, Kang Liu
2025 J jnl
Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning.
CoRR
Sirui Liang, Pengfei Cao, Jian Zhao, Cong Huang, Jun Zhao, Kang Liu
2025 J jnl
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies.
CoRR
Yuqiao Tan, Minzheng Wang, Shizhu He, Huanxuan Liao, Chengfeng Zhao, Qiunan Lu, Tian Liang, Jun Zhao, Kang Liu
2025 A* conf
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance.
AAAI
Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025 A* conf
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge.
ICLR
Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu
2025 J jnl
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge.
CoRR
Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu
2025 — conf
CiteLab: Developing and Diagnosing LLM Citation Generation Workflows via the Human-LLM Interaction.
ACL (3)
Jiajun Shen, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
CogNet3: Fusing Dynamic Emotional Knowledge of Personality Homophilous Groups in Real-World Events into Multi-Source Knowledge Graph.
ISWC (Industry/Doctoral Consortium/Posters/Demos)
Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models.
ACL (1)
Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu, Kang Liu, Jun Zhao
2025 J jnl
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle.
CoRR
Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Zuo Wang, Qian Liu, Yang Wang, Ke Wang, Jun Zhao, Kang Liu
2025 J jnl
DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning.
CoRR
Huanxuan Liao, Shizhu He, Yupu Hao, Jun Zhao, Kang Liu
2025 — conf
DTELS: Towards Dynamic Granularity of Timeline Summarization.
NAACL (Long Papers)
Chenlong Zhang, Tong Zhou, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
Decomposed Reasoning with Reinforcement Learning for Relevance Assessment in UGC Platforms.
CoRR
Xiaowei Yuan, Lei Jin, Haoxin Zhang, Yan Gao, Yi Wu, Yao Hu, Ziyang Huang, Jun Zhao, Kang Liu
2025 J jnl
Does RAG Really Perform Bad For Long-Context Processing?
CoRR
Kun Luo, Zheng Liu, Peitian Zhang, Hongjin Qian, Jun Zhao, Kang Liu
2025 — conf
Enhancing Large Language Models with Pseudo-and Multisource-Knowledge Graphs for Open-ended Question Answering.
ICDEW
Jiaxiang Liu, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu
2025 — conf
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis.
ACL (1)
Kejian Zhu, Shangqing Tu, Zhuoran Jin, Lei Hou, Juanzi Li, Jun Zhao
2025 J jnl
Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis.
CoRR
Kejian Zhu, Shangqing Tu, Zhuoran Jin, Lei Hou, Juanzi Li, Jun Zhao
2025 — conf
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity.
ACL (1)
Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity.
CoRR
Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion.
CoRR
Pengfei Cao, Zeao Ji, Daojian Zeng, Jun Zhao, Kang Liu
2025 — conf
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement.
ACL (1)
Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu
2025 J jnl
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement.
CoRR
Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu
2025 — conf
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs.
COLING Workshops
Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu
2025 J jnl
GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks.
CoRR
Jianwen Luo, Yiming Huang, Jinxiang Meng, Fangyu Lei, Shizhu He, Xiao Liu, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
2025 — conf
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate.
ACL (Findings)
Ziyang Huang, Wangtao Sun, Jun Zhao, Kang Liu
2025 J jnl
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate.
CoRR
Ziyang Huang, Wangtao Sun, Jun Zhao, Kang Liu
2025 J jnl
InfoFlow: Reinforcing Search Agent Via Reward Density Optimization.
CoRR
Kun Luo, Hongjin Qian, Zheng Liu, Ziyi Xia, Shitao Xiao, Siqi Bao, Jun Zhao, Kang Liu
2025 — conf
KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model.
EMNLP (System Demonstrations)
Shun Wu, Di Wu, Wangtao Sun, Ziyang Huang, Xiaowei Yuan, Kun Luo, Xueyou Zhang, Shizhu He, Jun Zhao, Kang Liu
2025 — conf
Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models.
ACL (3)
Jiaxiang Liu, Boxuan Xing, Chenhao Yuan, Chenxiang Zhang, Di Wu, Xiusheng Huang, Haida Yu, Chuhan Lang, Pengfei Cao, Jun Zhao, Kang Liu
2025 J jnl
Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models.
CoRR
Jiaxiang Liu, Boxuan Xing, Chenhao Yuan, Chenxiang Zhang, Di Wu, Xiusheng Huang, Haida Yu, Chuhan Lang, Pengfei Cao, Jun Zhao, Kang Liu
2025 A* conf
Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
ICLR
Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 A* conf
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models.
AAAI
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
LLaSA: Large Language and Structured Data Assistant.
NAACL (Long Papers)
Yao Xu, Shizhu He, Jiabei Chen, ZengXiangrong ZengXiangrong, Bingning Wang, Guang Liu, Jun Zhao, Kang Liu
2025 J jnl
Large Language Models for Planning: A Comprehensive and Systematic Survey.
CoRR
Pengfei Cao, Tianyi Men, Wencan Liu, Jingwen Zhang, Xuzhao Li, Xixun Lin, Dianbo Sui, Yanan Cao, Kang Liu, Jun Zhao
2025 A* conf
M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model.
EMNLP
Yang Zhou, Pengfei Cao, Yubo Chen, Qingbin Liu, Dianbo Sui, Xi Chen, Kang Liu, Jun Zhao
2025 A* conf
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models.
ICLR
Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos.
CoRR
Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation.
EMNLP (Findings)
Xinping Lei, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation.
CoRR
Xinping Lei, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models.
ACL (1)
Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao
2025 J jnl
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models.
CoRR
Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao
2025 A* conf
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks.
AAAI
Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2025 J jnl
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences.
CoRR
Zhuoran Jin, Hongbang Yuan, Kejian Zhu, Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
PL-CA: A Parametric Legal Case Augmentation Framework.
CoRR
Ao Chang, Yubo Chen, Jun Zhao
2025 J jnl
Probabilistic Uncertain Reward Model: A Natural Generalization of Bradley-Terry Reward Model.
CoRR
Wangtao Sun, Xiang Cheng, Xing Yu, Haotian Xu, Zhao Yang, Shizhu He, Jun Zhao, Kang Liu
2025 J jnl
Prompt robust large language model for Chinese medical named entity recognition.
Inf. Process. Manag.
Yubo Chen, Baoli Zhang, Sirui Li, Zhuoran Jin, Zhengyuan Cai, Yingzheng Wang, Delai Qiu, Shengping Liu, Jun Zhao
2025 — conf
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.
ACL (Findings)
Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2025 J jnl
RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality.
CoRR
Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen
2025 J jnl
Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning.
CoRR
Fangyu Lei, Jinxiang Meng, Yiming Huang, Tinghong Chen, Yun Zhang, Shizhu He, Jun Zhao, Kang Liu
2025 J jnl
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent.
CoRR
Ziyang Huang, Xiaowei Yuan, Yiming Ju, Jun Zhao, Kang Liu
2025 — conf
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing.
ACL (1)
Jiakuan Xie, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing.
CoRR
Jiakuan Xie, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 J jnl
Rewarding Curse: Analyze and Mitigate Reward Modeling Issues for LLM Reasoning.
CoRR
Jiachun Li, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2025 B conf
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models.
COLING
Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu
2025 J jnl
Scaling Laws for Task-Stratified Knowledge in Post-Training Quantized Large Language Models.
CoRR
Chenxi Zhou, Pengfei Cao, Jiang Li, Jun Zhao, Kang Liu
2025 — conf
Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval.
ACL (Findings)
Jiabei Chen, Guang Liu, Shizhu He, Kun Luo, Yao Xu, Jun Zhao, Kang Liu
2025 J jnl
Semantic Pivots Enable Cross-Lingual Transfer in Large Language Models.
CoRR
Kaiyu He, Tong Zhou, Yubo Chen, Delai Qiu, Shengping Liu, Kang Liu, Jun Zhao
2025 J jnl
Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns.
CoRR
Xiang Li, Haiyang Yu, Xinghua Zhang, Ziyang Huang, Shizhu He, Kang Liu, Jun Zhao, Fei Huang, Yongbin Li
2025 J jnl
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning.
CoRR
Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2025 — conf
The Knowledge Microscope: Features as Better Analytical Lenses than Neurons.
ACL (1)
Yuheng Chen, Pengfei Cao, Kang Liu, Jun Zhao
2025 J jnl
The Knowledge Microscope: Features as Better Analytical Lenses than Neurons.
CoRR
Yuheng Chen, Pengfei Cao, Kang Liu, Jun Zhao
2025 J jnl
The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models.
CoRR
Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao
2025 B conf
Towards Adaptive Mechanism Activation in Language Agent.
COLING
Ziyang Huang, Jun Zhao, Kang Liu
2025 J jnl
Towards Agentic Self-Learning LLMs in Search Environment.
CoRR
Wangtao Sun, Xiang Cheng, Jialin Fan, Yao Xu, Xing Yu, Shizhu He, Jun Zhao, Kang Liu
2025 J jnl
Towards Atoms of Large Language Models.
CoRR
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness.
ACL (Findings)
Jiachun Li, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2025 A* conf
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.
AAAI
Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2025 — conf
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation.
ACL (Findings)
Jiajun Shen, Tong Zhou, Yubo Chen, Delai Qiu, Shengping Liu, Kang Liu, Jun Zhao
2025 J jnl
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation.
CoRR
Jiajun Shen, Tong Zhou, Yubo Chen, Delai Qiu, Shengping Liu, Kang Liu, Jun Zhao
2025 J jnl
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models.
CoRR
Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu
2025 A* conf
Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning.
EMNLP
Chengfeng Zhao, Shizhu He, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
2024 J jnl
A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns.
CoRR
Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2024 A* conf
ABSEval: An Agent-based Framework for Script Evaluation.
EMNLP
Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu
2024 — conf
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation.
EMNLP (Findings)
Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Kang Liu, Jun Zhao
2024 J jnl
Beyond Instruction Following: Evaluating Rule Following of Large Language Models.
CoRR
Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Ziyang Huang, Haotian Xu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu
2024 J jnl
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.
CoRR
Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu, Jun Zhao
2024 J jnl
CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance.
CoRR
Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph.
ACL (3)
Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph.
CoRR
Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2024 A* conf
Commonsense Knowledge Editing Based on Free-Text in LLMs.
EMNLP
Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu
2024 J jnl
Commonsense Knowledge Editing Based on Free-Text in LLMs.
CoRR
Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu
2024 — conf
Continual Few-shot Event Detection via Hierarchical Augmentation Networks.
LREC/COLING
Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2024 J jnl
Continual Few-shot Event Detection via Hierarchical Augmentation Networks.
CoRR
Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2024 J jnl
ControlLM: Crafting Diverse Personalities for Language Models.
CoRR
Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2024 — conf
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.
ACL (Findings)
Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2024 J jnl
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.
CoRR
Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2024 A* conf
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models.
EMNLP
Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu
2024 J jnl
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models.
CoRR
Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu
2024 J jnl
DTELS: Towards Dynamic Granularity of Timeline Summarization.
CoRR
Chenlong Zhang, Tong Zhou, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint.
ACL (Findings)
Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu
2024 J jnl
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint.
CoRR
Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu
2024 A conf
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models.
CIKM
Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu
2024 J jnl
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models.
CoRR
Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu
2024 J jnl
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering.
CoRR
Jiaxiang Liu, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu
2024 J jnl
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model.
CoRR
Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2024 — conf
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning.
ACL (1)
Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
2024 J jnl
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning.
CoRR
Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
2024 J jnl
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs.
CoRR
Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu
2024 A* conf
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions.
NeurIPS
Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024 J jnl
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions.
CoRR
Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024 A* conf
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering.
EMNLP
Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu
2024 J jnl
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering.
CoRR
Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao
2024 J jnl
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models.
CoRR
Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao
2024 A* conf
Improving Zero-shot LLM Re-Ranker with Risk Minimization.
EMNLP
Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu
2024 J jnl
Improving Zero-shot LLM Re-Ranker with Risk Minimization.
CoRR
Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu
2024 J jnl
Inference for high-dimensional linear expectile regression with de-biasing method.
Comput. Stat. Data Anal.
Xiang Li, Yu-Ning Li, Li-Xin Zhang, Jun Zhao
2024 J jnl
Information bottleneck based knowledge selection for commonsense reasoning.
Inf. Sci.
Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
2024 — conf
Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization.
EMNLP (Findings)
Zhiqi Wang, Shizhu He, Kang Liu, Jun Zhao
2024 — conf
ItD: Large Language Models Can Teach Themselves Induction through Deduction.
ACL (1)
Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu
2024 J jnl
ItD: Large Language Models Can Teach Themselves Induction through Deduction.
CoRR
Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu
2024 J jnl
Joint Entity and Relation Extraction With Set Prediction Networks.
IEEE Trans. Neural Networks Learn. Syst.
Dianbo Sui, Xiangrong Zeng, Yubo Chen, Kang Liu, Jun Zhao
2024 A* conf
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons.
AAAI
Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model.
EMNLP (System Demonstrations)
Shun Wu, Di Wu, Kun Luo, Xueyou Zhang, Jun Zhao, Kang Liu
2024 J jnl
Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
CoRR
Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models.
CoRR
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning.
EMNLP (Findings)
Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao
2024 J jnl
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning.
CoRR
Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao
2024 J jnl
LLaSA: Large Language and Structured Data Assistant.
CoRR
Yao Xu, Shizhu He, Xiangrong Zeng, Jiabei Chen, Guang Liu, Bingning Wang, Jun Zhao, Kang Liu
2024 — conf
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models.
ACL (1)
Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu
2024 — conf
Large Language Models With Holistically Thought Could Be Better Doctors.
NLPCC (2)
Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Shengping Liu, Kang Liu, Shutao Li, Jun Zhao
2024 A* conf
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment.
EMNLP
Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu
2024 J jnl
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment.
CoRR
Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu
2024 — conf
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering.
LREC/COLING
Chenhao Wang, Pengfei Cao, Jiachun Li, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao
2024 J jnl
MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation.
CoRR
Jiakuan Xie, Pengfei Cao, Yuheng Chen, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models.
CoRR
Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
MULFE: A Multi-Level Benchmark for Free Text Model Editing.
ACL (1)
Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
2024 A* conf
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks.
ICLR
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
2024 — conf
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts.
LREC/COLING
Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao
2024 J jnl
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models.
CoRR
Tongxu Luo, Jiahe Lei, Fangyu Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu
2024 J jnl
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints.
CoRR
Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao
2024 J jnl
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks.
CoRR
Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2024 — conf
NutFrame: Frame-based Conceptual Structure Induction with LLMs.
LREC/COLING
Shaoru Guo, Yubo Chen, Kang Liu, Ru Li, Jun Zhao
2024 A* conf
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models.
IJCAI
Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao
2024 A* conf
On the In-context Generation of Language Models.
EMNLP
Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu
2024 J jnl
One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models.
CoRR
Pengfei Cao, Yuheng Chen, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment.
CoRR
Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 A* conf
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.
NeurIPS
Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.
CoRR
Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model.
NAACL-HLT
Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
2024 J jnl
SimuCourt: Building Judicial Decision-Making Agents with Real-world Judgement Documents.
CoRR
Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao
2024 — conf
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering.
ACL (Findings)
Xiang Li, Shizhu He, Fangyu Lei, JunYang JunYang, Tianhuang Su, Kang Liu, Jun Zhao
2024 J jnl
The Da Vinci Code of Large Pre-trained Language Models: Deciphering Degenerate Knowledge Neurons.
CoRR
Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu, Kang Liu, Jun Zhao
2024 J jnl
Towards Adaptive Mechanism Activation in Language Agent.
CoRR
Ziyang Huang, Jun Zhao, Kang Liu
2024 J jnl
Towards Better Quantity Representations for Solving Math Word Problems.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Runxin Sun, Shizhu He, Jun Zhao, Kang Liu
2024 J jnl
Towards Faithful Chain-of-Thought: Large Language Models are Bridging Reasoners.
CoRR
Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database.
LREC/COLING
Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao
2024 J jnl
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.
CoRR
Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models.
CoRR
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao
2024 — conf
Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models.
LREC/COLING
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao
2024 A* conf
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models.
EMNLP
Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models.
CoRR
Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2024 Misc conf
Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics.
ICASSP
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
2024 A* conf
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.
EMNLP
Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
2024 J jnl
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.
CoRR
Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao
2024 — conf
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing.
ACL (Findings)
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 J jnl
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing.
CoRR
Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2024 — conf
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.
LREC/COLING
Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2024 J jnl
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.
CoRR
Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao
2024 — conf
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models.
NAACL (Demonstrations)
Pengfan Du, Sirui Liang, Baoli Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2023 — conf
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection.
ACL (Findings)
Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
2023 — conf
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching.
EMNLP (Findings)
Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao
2023 J jnl
Bidirectional Sentence Ordering with Interactive Decoding.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2023 — conf
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks.
ACL (Findings)
Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen
2023 — conf
CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge.
ISWC (Posters/Demos/Industry)
Chenhao Wang, Shaoru Guo, Zhitao He, Zhipeng Xue, Yubo Chen, Kang Liu, Jun Zhao
2023 — conf
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model.
EMNLP (Findings)
Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao
2023 — conf
DiffusionSL: Sequence Labeling via Tag Diffusion Process.
EMNLP (Findings)
Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu
2023 A* conf
Event Ontology Completion with Hierarchical Structure Evolution Networks.
EMNLP
Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao
2023 A* conf
Event Process Typing via Hierarchical Optimal Transport.
AAAI
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao
2023 — conf
EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata.
ACL (Findings)
Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao
2023 J jnl
ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook.
CoRR
Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu
2023 — conf
ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook.
EMNLP (Findings)
Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu
2023 A conf
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model.
EACL
Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2023 — conf
Generative Calibration for In-context Learning.
EMNLP (Findings)
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu
2023 J jnl
Generative Calibration for In-context Learning.
CoRR
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu
2023 J jnl
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering.
CoRR
Tongxu Luo, Fangyu Lei, Jiahe Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu
2023 — conf
InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models.
EMNLP (Findings)
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2023 — conf
Interpreting Sentiment Composition with Latent Semantic Tree.
ACL (Findings)
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
2023 J jnl
Interpreting Sentiment Composition with Latent Semantic Tree.
CoRR
Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu
2023 J jnl
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons.
CoRR
Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2023 J jnl
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules.
CoRR
Yinyu Lan, Shizhu He, Kang Liu, Jun Zhao
2023 — conf
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation.
EMNLP (Findings)
Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao
2023 J jnl
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models.
CoRR
Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, Jun Zhao
2023 J jnl
Large Language Models Need Holistically Thought in Medical Conversational QA.
CoRR
Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao
2023 — conf
Large Language Models are Better Reasoners with Self-Verification.
EMNLP (Findings)
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao
2023 Misc conf
Learning to Build Reasoning Chains by Reliable Path Retrieval.
ICASSP
Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao
2023 J jnl
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images.
CoRR
Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shizhu He, Jun Zhao, Kang Liu
2023 — conf
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models.
EMNLP (Findings)
Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
2023 J jnl
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models.
CoRR
Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
2023 — conf
Multi-Target Semantic Parsing with Collaborative Deliberation Network.
IJCNLP (Findings)
Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao
2023 J jnl
Multi-Turn and Multi-Granularity Reader for Document-Level Event Extraction.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Zuyu Zhao, Weijian Sun
2023 J jnl
Multi-View Graph Representation Learning for Answering Hybrid Numerical Reasoning Question.
CoRR
Yifan Wei, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu
2023 — conf
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints.
ACL (Findings)
Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao
2023 J jnl
Neural Comprehension: Language Models with Compiled Neural Networks.
CoRR
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
2023 J jnl
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models.
CoRR
Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Jun Zhao, Shengping Liu
2023 B conf
On the Effects of Structural Modeling for Neural Semantic Parsing.
CoNLL
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
2023 — conf
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network.
ACL (Findings)
Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao
2023 J jnl
Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA.
CoRR
Yang Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2023 — conf
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs.
EMNLP (Findings)
Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao
2023 J jnl
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs.
CoRR
Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao
2023 A* conf
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process.
EMNLP
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu
2023 J jnl
S
CoRR
Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu
2023 J jnl
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models.
CoRR
Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
2023 — conf
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering.
ACL (2)
Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu
2023 J jnl
Script Event Prediction via Multilingual Event Graph Networks.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao
2023 J jnl
TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering.
CoRR
Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu
2023 J jnl
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database.
CoRR
Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2023 J jnl
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network.
J. Comput. Sci. Technol.
Qingbin Liu, Shizhu He, Cao Liu, Kang Liu, Jun Zhao
2023 J jnl
Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision.
J. Comput. Sci. Technol.
Guirong Bai, Qingbin Liu, Shizhu He, Kang Liu, Jun Zhao
2023 — conf
What Events Do Pre-trained Language Models Learn from Text? Probing Event-Based Commonsense Knowledge by Confidence Sorting.
NLPCC (1)
Jiachun Li, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao
2023 A* conf
Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning.
AAAI
Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
2023 — conf
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models.
EMNLP (Demos)
Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao
2023 J jnl
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models.
CoRR
Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao
2022 A* conf
A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing.
EMNLP
Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2022 B conf
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder.
COLING
Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu
2022 J jnl
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder.
CoRR
Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu
2022 B conf
Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach.
COLING
Bo Zhou, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li
2022 — conf
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities.
SemEval@NAACL
Jia Fu, Zhen Gan, Zhucong Li, Sirui Li, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao
2022 — conf
CASIA@SMM4H'22: A Uniform Health Information Mining System for Multilingual Social Media Texts.
SMM4H@COLING
Jia Fu, Sirui Li, Hui Ming Yuan, Zhucong Li, Zhen Gan, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu
2022 B conf
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers.
COLING
Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao
2022 A* conf
CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models.
EMNLP
Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
2022 — conf
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack.
CCL
Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu
2022 — conf
CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge.
ACL (demo)
Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, Jun Zhao
2022 — conf
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding.
EMNLP (Demos)
Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao
2022 B conf
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts.
COLING
Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, Jun Zhao
2022 B conf
Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning.
COLING
Xiusheng Huang, Hang Yang, Yubo Chen, Jun Zhao, Kang Liu, Weijian Sun, Zuyu Zhao
2022 J jnl
Example-guided stylized response generation in zero-shot setting.
Sci. China Inf. Sci.
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2022 J jnl
Generating Hierarchical Explanations on Text Classification Without Connecting Rules.
CoRR
Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
2022 B conf
Generating Temporally-ordered Event Sequences via Event Optimal Transport.
COLING
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li
2022 — conf
Incremental Intent Detection for Medical Domain with Contrast Replay Networks.
ACL (Findings)
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2022 J jnl
Large Language Models are reasoners with Self-Verification.
CoRR
Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu, Jun Zhao
2022 — conf
Learning to Answer Complex Visual Questions from Multi-View Analysis.
CCKS (Evaluation Track)
Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2022 — conf
Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing.
ACL (2)
Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu
2022 — conf
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer.
SemEval@NAACL
Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li, Kang Liu, Jun Zhao
2022 J jnl
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs.
CoRR
Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao
2022 — conf
Logic Traps in Evaluating Attribution Scores.
ACL (1)
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
2022 — conf
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs.
EMNLP (Demos)
Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao
2022 J jnl
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains.
CoRR
Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
2022 J jnl
Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2021 — conf
A Large-Scale Chinese Multimodal NER Dataset with Speech Clues.
ACL/IJCNLP (1)
Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu, Jun Zhao
2021 J jnl
A Unified Shared-Private Network with Denoising for Dialogue State Tracking.
J. Comput. Sci. Technol.
Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2021 J jnl
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing.
CoRR
Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He, Kang Liu, Jun Zhao
2021 — conf
Alignment Rationale for Natural Language Inference.
ACL/IJCNLP (1)
Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu
2021 — conf
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism.
ACL/IJCNLP (1)
Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong, Shengping Liu
2021 — conf
Biomedical Concept Normalization by Leveraging Hypernyms.
EMNLP (1)
Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu
2021 — conf
Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks.
SMM4H@NAACL-HLT
Tong Zhou, Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Kun Niu, Jing Wan, Kang Liu, Jun Zhao, Yafei Shi, Weifeng Chong, Shengping Liu
2021 — conf
CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet.
ACL (demo)
Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Jun Zhao
2021 A* conf
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge.
AAAI
Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao
2021 J jnl
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge.
CoRR
Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao
2021 — conf
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset.
EMNLP (Demos)
Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu, Yafei Shi
2021 — conf
Distantly Supervised Relation Extraction in Federated Settings.
EMNLP (Findings)
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao
2021 — conf
Document-level Event Extraction via Parallel Prediction Networks.
ACL/IJCNLP (1)
Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang
2021 — conf
Does BERT Know Which Answer Beyond the Question?
CCKS (Evaluation Track)
Fei Xia, Yixuan Weng, Maojin Xia, Qiang Yu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2021 — conf
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks.
EMNLP (1)
Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao
2021 — conf
Enhance Both Text and Label: Combination Strategies for Improving the Generalization Ability of Medical Entity Extraction.
CCKS (Evaluation Track)
Zhen Gan, Zhucong Li, Baoli Zhang, Jing Wan, Yubo Chen, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu
2021 — conf
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations.
EMNLP (1)
Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao
2021 J jnl
Enhancing unsupervised medical entity linking with multi-instance learning.
BMC Medical Informatics Decis. Mak.
Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu
2021 J jnl
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue.
Knowl. Based Syst.
Qingbin Liu, Guirong Bai, Shizhu He, Cao Liu, Kang Liu, Jun Zhao
2021 — conf
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement.
ACL/IJCNLP (Findings)
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen
2021 J jnl
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement.
CoRR
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen
2021 — conf
Incorporate Lexicon into Self-training: A Distantly Supervised Chinese Medical NER.
NLPCC (1)
Zhen Gan, Zhucong Li, Baoli Zhang, Jing Wan, Yubo Chen, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu
2021 — conf
Knowledge Guided Metric Learning for Few-Shot Text Classification.
NAACL-HLT
Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao
2021 — conf
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks.
ACL/IJCNLP (1)
Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng
2021 — conf
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification.
ACL/IJCNLP (1)
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen
2021 J jnl
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification.
CoRR
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen
2021 J jnl
Lifelong Intent Detection via Multi-Strategy Rebalancing.
CoRR
Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao
2021 A conf
Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder.
CIKM
Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang
2021 A conf
Multi-Task Self-Supervised Learning for Script Event Prediction.
CIKM
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li
2021 — conf
Multi-strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension.
CCL
Xiaoyan Yu, Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao, Yongbin Zhou
2021 — conf
NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning.
CCKS
Xiusheng Huang, Yubo Chen, Kang Liu, Yuantao Xie, Weijian Sun, Jun Zhao
2021 — conf
Named Entity Recognition via Noise Aware Training Mechanism with Data Filter.
ACL/IJCNLP (Findings)
Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie, Weijian Sun
2021 J jnl
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion.
CoRR
Yinyu Lan, Shizhu He, Xiangrong Zeng, Shengping Liu, Kang Liu, Jun Zhao
2021 J jnl
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion.
BMC Medical Informatics Decis. Mak.
Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu, Jun Zhao
2021 A conf
Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents.
EACL
Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao
2021 J jnl
Semi-Supervised Noisy Label Learning for Chinese Clinical Named Entity Recognition.
Data Intell.
Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu
2021 — conf
Set Generation Networks for End-to-End Knowledge Base Population.
EMNLP (1)
Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi
2021 J jnl
The Logic Traps in Evaluating Post-hoc Interpretations.
CoRR
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
2021 — conf
Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain.
CCL
Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao
2021 — conf
Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances.
CCKS
Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2021 — conf
Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification.
EMNLP (1)
Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu, Jun Zhao
2021 A conf
Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction.
CIKM
Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi
2021 A* conf
What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering.
AAAI
Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li
2020 A* conf
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding.
AAAI
Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao
2020 — conf
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism.
CNCL
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2020 — conf
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes.
ACL (demo)
Pengfei Cao, Chenwei Yan, Xiangling Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong
2020 J jnl
Distantly Supervised Relation Extraction in Federated Settings.
CoRR
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao
2020 J jnl
Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information.
CoRR
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
2020 J jnl
Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges.
AI Open
Kang Liu, Yubo Chen, Jian Liu, Xinyu Zuo, Jun Zhao
2020 — conf
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction.
EMNLP (1)
Dianbo Sui, Yubo Chen, Jun Zhao, Yantao Jia, Yuantao Xie, Weijian Sun
2020 B conf
Graph-Based Knowledge Integration for Question Answering over Dialogue.
COLING
Jian Liu, Dianbo Sui, Kang Liu, Jun Zhao
2020 A* conf
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding.
ACL
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong
2020 — conf
Incremental Event Detection via Knowledge Consolidation Networks.
EMNLP (1)
Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang
2020 J jnl
Joint Entity and Relation Extraction with Set Prediction Networks.
CoRR
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Xiangrong Zeng, Shengping Liu
2020 B conf
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision.
COLING
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
2020 J jnl
KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision.
CoRR
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
2020 A* conf
Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations.
IJCAI
Jian Liu, Yubo Chen, Jun Zhao
2020 J jnl
Knowledge Guided Metric Learning for Few-Shot Text Classification.
CoRR
Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao
2020 A* conf
MIE: A Medical Information Extractor towards Medical Dialogues.
ACL
Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao
2020 — conf
Meta Learning for Event Argument Extraction via Domain-Specific Information Enhanced.
CCKS
Hang Yang, Yubo Chen, Kang Liu, Jun Zhao
2020 J jnl
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA.
CoRR
Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin
2020 B conf
Pre-trained Language Model Based Active Learning for Sentence Matching.
COLING
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie
2020 J jnl
Pre-trained Language Model Based Active Learning for Sentence Matching.
CoRR
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie
2020 — conf
Reconstructing Event Regions for Event Extraction via Graph Attention Networks.
AACL/IJCNLP
Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao
2020 — conf
Scene Restoring for Narrative Machine Reading Comprehension.
EMNLP (1)
Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng
2020 — conf
Towards Causal Explanation Detection with Pyramid Salient-Aware Network.
CNCL
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
2020 J jnl
Towards Causal Explanation Detection with Pyramid Salient-Aware Network.
CoRR
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
2019 — conf
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing.
ACL (1)
Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao
2019 — conf
Adaptive Multilingual Representations for Cross-Lingual Entity Linking with Attention on Entity Descriptions.
CCKS
Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao
2019 — conf
Attention-Based Direct Interaction Model for Knowledge Graph Embedding.
JIST (2)
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao
2019 J jnl
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking.
CoRR
Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2019 A* conf
Document Gated Reader for Open-Domain Question Answering.
SIGIR
Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Zhixing Tian, Kang Liu, Jun Zhao
2019 J jnl
Event co-reference resolution via a multi-loss neural network without using argument information.
Sci. China Inf. Sci.
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao
2019 — conf
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss.
EMNLP/IJCNLP (1)
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019 J jnl
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss.
CoRR
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019 B conf
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots.
CoNLL
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019 J jnl
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots.
CoRR
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao
2019 — ed.
Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding - Third China Conference, CCKS 2018, Tianjin, China, August 14-17, 2018, Revised Selected Papers
CCKS
Jun Zhao, Frank van Harmelen, Jie Tang, Xianpei Han, Quan Wang, Xianyong Li
2019 — conf
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning.
EMNLP/IJCNLP (1)
Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao
2019 — conf
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network.
EMNLP/IJCNLP (1)
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu
2019 — conf
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network.
EMNLP/IJCNLP (1)
Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao
2019 — conf
Neural Cross-Lingual Event Detection with Minimal Parallel Resources.
EMNLP/IJCNLP (1)
Jian Liu, Yubo Chen, Kang Liu, Jun Zhao
2019 — conf
Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension.
CCL
Delai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Xiangwen Liao
2019 — conf
Relation and Fact Type Supervised Knowledge Graph Embedding via Weighted Scores.
CCL
Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao
2019 Misc conf
Unsupervised Story Comprehension with Hierarchical Encoder-Decoder.
ICTIR
Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Kang Liu, Zhixing Tian, Jun Zhao
2019 — conf
Utterance Alignment in Custom Service by Integer Programming.
CCL
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2019 — conf
Variational Attention for Commonsense Knowledge Aware Conversation Generation.
NLPCC (1)
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao
2019 — conf
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation.
ACL (1)
Cao Liu, Shizhu He, Kang Liu, Jun Zhao
2018 — conf
Adversarial Training for Relation Classification with Attention Based Gate Mechanism.
CCKS
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
2018 A* conf
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism.
EMNLP
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu
2018 A* conf
Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms.
EMNLP
Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia
2018 A* conf
Curriculum Learning for Natural Answer Generation.
IJCAI
Cao Liu, Shizhu He, Kang Liu, Jun Zhao
2018 — conf
DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data.
ACL (4)
Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, Jun Zhao
2018 A conf
Deep Semantic Hashing with Multi-Adversarial Training.
CIKM
Bingning Wang, Kang Liu, Jun Zhao
2018 A* conf
Event Detection via Gated Multilingual Attention Mechanism.
AAAI
Jian Liu, Yubo Chen, Kang Liu, Jun Zhao
2018 — conf
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism.
ACL (1)
Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao
2018 A* conf
Large Scaled Relation Extraction With Reinforcement Learning.
AAAI
Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao
2018 — conf
Learning to Detect Verbose Expressions in Spoken Texts.
CCL
Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao
2018 B conf
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases.
COLING
Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao
2017 — conf
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge.
ACL (1)
Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao
2017 — conf
Attention-Based Event Relevance Model for Stock Price Movement Prediction.
CCKS
Jian Liu, Yubo Chen, Kang Liu, Jun Zhao
2017 — conf
Automatically Labeled Data Generation for Large Scale Event Extraction.
ACL (1)
Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao
2017 A* conf
Conditional Generative Adversarial Networks for Commonsense Machine Comprehension.
IJCAI
Bingning Wang, Kang Liu, Jun Zhao
2017 — conf
Detecting Deceptive Review Spam via Attention-Based Neural Networks.
NLPCC
Xuepeng Wang, Kang Liu, Jun Zhao
2017 A* conf
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions.
AAAI
Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao
2017 — conf
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms.
ACL (1)
Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao
2017 — conf
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning.
ACL (1)
Shizhu He, Cao Liu, Kang Liu, Jun Zhao
2017 — conf
Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors.
ACL (1)
Xuepeng Wang, Kang Liu, Jun Zhao
2017 — conf
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations.
IJCNLP (Shared Tasks)
Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei
2017 — conf
Improving Event Detection via Information Sharing Among Related Event Types.
CCL
Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao, Zhunchen Luo, Wei Luo
2017 J jnl
Self-Taught Convolutional Neural Networks for Short Text Clustering.
CoRR
Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao
2017 J jnl
Self-Taught convolutional neural networks for short text clustering.
Neural Networks
Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao
2017 — conf
Unsupervised Joint Entity Linking over Question Answering Pair with Global Knowledge.
CCL
Cao Liu, Shizhu He, Hang Yang, Kang Liu, Jun Zhao
2017 — conf
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
EACL (1)
Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao
2016 — conf
A Joint Embedding Method for Entity Alignment of Knowledge Bases.
CCKS
Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
2016 A* conf
A Joint Model for Question Answering over Multiple Knowledge Bases.
AAAI
Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
2016 A* conf
A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification.
AAAI
Shulin Liu, Kang Liu, Shizhu He, Jun Zhao
2016 A* conf
Employing External Rich Knowledge for Machine Comprehension.
IJCAI
Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao
2016 — conf
Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks.
CCL
Yubo Chen, Shulin Liu, Shizhu He, Kang Liu, Jun Zhao
2016 J jnl
How to Generate a Good Word Embedding.
IEEE Intell. Syst.
Siwei Lai, Kang Liu, Shizhu He, Jun Zhao
2016 — conf
Inner Attention based Recurrent Neural Networks for Answer Selection.
ACL (1)
Bingning Wang, Kang Liu, Jun Zhao
2016 A* conf
Knowledge Graph Completion with Adaptive Sparse Transfer Matrix.
AAAI
Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao
2016 J jnl
Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization.
IEEE ACM Trans. Audio Speech Lang. Process.
Guangyou Zhou, Zhiwen Xie, Tingting He, Jun Zhao, Xiaohua Tony Hu
2016 A* conf
Learning to Represent Review with Tensor Decomposition for Spam Detection.
EMNLP
Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao
2016 — conf
Leveraging FrameNet to Improve Automatic Event Detection.
ACL (1)
Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao
2016 — conf
Link Prediction via Mining Markov Logic Formulas to Improve Social Recommendation.
CCKS
Zhuoyu Wei, Jun Zhao, Kang Liu, Shizhu He
2016 A* conf
Mining Inference Formulas by Goal-Directed Random Walks.
EMNLP
Zhuoyu Wei, Jun Zhao, Kang Liu
2016 J jnl
Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information.
CoRR
Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao
2016 J jnl
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions.
Comput. Linguistics
Jun Zhao, Kang Liu, Liheng Xu
2015 — conf
A Novel Hierarchical Convolutional Neural Network for Question Answering over Paragraphs.
WI-IAT (1)
Suncong Zheng, Hongyun Bao, Jun Zhao, Jie Zhang, Zhenyu Qi, Hongwei Hao
2015 A* conf
A Subspace Learning Framework for Cross-Lingual Sentiment Classification with Partial Parallel Data.
IJCAI
Guangyou Zhou, Tingting He, Jun Zhao, Wensheng Wu
2015 J jnl
Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model.
IEEE Trans. Knowl. Data Eng.
Kang Liu, Liheng Xu, Jun Zhao
2015 A* conf
Convolutional Neural Networks for Text Hashing.
IJCAI
Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao
2015 A* conf
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks.
EMNLP
Daojian Zeng, Kang Liu, Yubo Chen, Jun Zhao
2015 — conf
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks.
ACL (1)
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao
2015 J jnl
How to Generate a Good Word Embedding?
CoRR
Siwei Lai, Kang Liu, Liheng Xu, Jun Zhao
2015 — conf
Knowledge Graph Embedding via Dynamic Mapping Matrix.
ACL (1)
Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao
2015 A conf
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances.
CIKM
Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, Zhengya Sun, Guanhua Tian
2015 — conf
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering.
ACL (1)
Guangyou Zhou, Tingting He, Jun Zhao, Po Hu
2015 A conf
Learning to Represent Knowledge Graphs with Gaussian Embedding.
CIKM
Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao
2015 J jnl
Question Answering over Knowledge Bases.
IEEE Intell. Syst.
Kang Liu, Jun Zhao, Shizhu He, Yuanzhe Zhang
2015 A* conf
Recurrent Convolutional Neural Networks for Text Classification.
AAAI
Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao
2015 — conf
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines.
ACL (1)
Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao, Gerard de Melo
2015 — conf
Short Text Clustering via Convolutional Neural Networks.
VS@HLT-NAACL
Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao
2015 J jnl
Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags.
CoRR
Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hongwei Hao
2015 — conf
Short Text Hashing Improved by Integrating Multi-granularity Topics and Tags.
CICLing (1)
Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hongwei Hao
2014 J jnl
An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities.
Knowl. Based Syst.
Guangyou Zhou, Jun Zhao, Tingting He, Wensheng Wu
2014 — conf
Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification.
NLPCC
Guangyou Zhou, Tingting He, Jun Zhao
2014 — conf
CASIA@V2: A MLN-based Question Answering System over Linked Data.
CLEF (Working Notes)
Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao
2014 — ed.
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 13th China National Conference, CCL 2014, and Second International Symposium, NLP-NABD 2014, Wuhan, China, October 18-19, 2014. Proceedings
CCL
Maosong Sun, Yang Liu, Jun Zhao
2014 — conf
Distant Supervision for Relation Extraction via Sparse Representation.
CCL
Daojian Zeng, Siwei Lai, Xuepeng Wang, Kang Liu, Jun Zhao, Xueqiang Lv
2014 B conf
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction.
COLING
Yang Liu, Kang Liu, Liheng Xu, Jun Zhao
2014 — conf
Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking.
ACL (1)
Kang Liu, Liheng Xu, Jun Zhao
2014 B conf
Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives.
COLING
Guangyou Zhou, Yubo Chen, Daojian Zeng, Jun Zhao
2014 B conf
Joint Opinion Relation Detection Using One-Class Deep Neural Network.
COLING
Liheng Xu, Kang Liu, Jun Zhao
2014 — ch.
Knowledge Extraction from Wikis/BBS/Blogs/News Web Sites.
Mining User Generated Content
Jun Zhao, Kang Liu, Guangyou Zhou, Zhenyu Qi, Yang Liu, Xianpei Han
2014 — conf
Learning the Distinctive Pattern Space Features for Relation Extraction.
CCL
Daojian Zeng, Yubo Chen, Kang Liu, Jun Zhao, Xueqiang Lv
2014 — conf
Ontology Matching with Word Embeddings.
CCL
Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv
2014 — conf
Product Feature Mining: Semantic Clues versus Syntactic Constituents.
ACL (1)
Liheng Xu, Kang Liu, Siwei Lai, Jun Zhao
2014 A* conf
Question Answering over Linked Data Using First-order Logic.
EMNLP
Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao
2014 — conf
Reasoning Over Relations Based on Chinese Knowledge Bases.
CCL
Guoliang Ji, Yinghua Zhang, Hongwei Hao, Jun Zhao
2014 B conf
Relation Classification via Convolutional Deep Neural Network.
COLING
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, Jun Zhao
2014 B conf
Sentiment Classification with Graph Co-Regularization.
COLING
Guangyou Zhou, Jun Zhao, Daojian Zeng
2014 — conf
Short Text Hashing Improved by Integrating Topic Features and Tags.
ICONIP (2)
Jiaming Xu, Bo Xu, Jun Zhao, Guanhua Tian, Heng Zhang, Hongwei Hao
2013 B conf
A Weakly Supervised Bayesian Model for Violence Detection in Social Media.
IJCNLP
Amparo Elizabeth Cano Basave, Yulan He, Kang Liu, Jun Zhao
2013 B conf
Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge.
IJCNLP
Yang Liu, Fang Liu, Siwei Lai, Kang Liu, Guangyou Zhou, Jun Zhao
2013 — conf
CASIA@QALD-3: A Question Answering System over Linked Data.
CLEF (Working Notes)
Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu, Jun Zhao
2013 A* conf
Cross Lingual Entity Linking with Bilingual Topic Model.
IJCAI
Tao Zhang, Kang Liu, Jun Zhao
2013 — conf
Determining Relation Semantics by Mapping Relation Phrases to Knowledge Base.
ACPR
Fang Liu, Yang Liu, Guangyou Zhou, Kang Liu, Jun Zhao
2013 — conf
Exploring Distinctive Features in Distant Supervision for Relation Extraction.
AIRS
Yang Liu, Shulin Liu, Kang Liu, Guangyou Zhou, Jun Zhao
2013 — conf
IAMA results for OAEI 2013.
OM
Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv
2013 A* conf
Improving Question Retrieval in Community Question Answering Using World Knowledge.
IJCAI
Guangyou Zhou, Yang Liu, Fang Liu, Daojian Zeng, Jun Zhao
2013 — conf
Joint Inference for Heterogeneous Dependency Parsing.
ACL (2)
Guangyou Zhou, Jun Zhao
2013 — conf
Mining Opinion Words and Opinion Targets in a Two-Stage Framework.
ACL (1)
Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao
2013 — conf
Open Relation Mapping Based on Instances and Semantics Expansion.
AIRS
Fang Liu, Shizhu He, Shulin Liu, Guangyou Zhou, Kang Liu, Jun Zhao
2013 A* conf
Opinion Target Extraction Using Partially-Supervised Word Alignment Model.
IJCAI
Kang Liu, Heng Li Xu, Yang Liu, Jun Zhao
2013 — conf
Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization.
ACL (1)
Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, Jun Zhao
2013 — conf
Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews.
ACL (1)
Kang Liu, Liheng Xu, Jun Zhao
2013 — conf
The CASIA Entity linking System at TAC 2013.
TAC
Yubo Chen, Guangyou Zhou, Liheng Xu, Shizhu He, Kang Liu, Jun Zhao
2013 A conf
Towards faster and better retrieval models for question search.
CIKM
Guangyou Zhou, Yubo Chen, Daojian Zeng, Jun Zhao
2013 — conf
Walk and learn: a two-stage approach for opinion words and opinion targets co-extraction.
WWW (Companion Volume)
Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao
2012 — conf
Are Human-Input Seeds Good Enough for Entity Set Expansion? Seeds Rewriting by Leveraging Wikipedia Semantic Knowledge.
AIRS
Zhenyu Qi, Kang Liu, Jun Zhao
2012 — conf
Choosing Better Seeds for Entity Set Expansion by Leveraging Wikipedia Semantic Knowledge.
CCPR
Zhenyu Qi, Kang Liu, Jun Zhao
2012 B conf
Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering.
COLING
Guangyou Zhou, Kang Liu, Jun Zhao
2012 A conf
Exploring the existing category hierarchy to automatically label the newly-arising topics in cQA.
CIKM
Guangyou Zhou, Li Cai, Kang Liu, Jun Zhao
2012 — conf
Hybrid Recommendation Models for Binary User Preference Prediction Problem.
KDD Cup
Siwei Lai, Yang Liu, Huxiang Gu, Liheng Xu, Kang Liu, Shiming Xiang, Jun Zhao, Rui Diao, Liang Xiang, Hang Li, Dong Wang
2012 A conf
Joint relevance and answer quality learning for question routing in community QA.
CIKM
Guangyou Zhou, Kang Liu, Jun Zhao
2012 — conf
Monolingual-Based Translation Model for Question Routing.
CCPR
Guangyou Zhou, Kang Liu, Jun Zhao
2012 — conf
Opinion Target Extraction Using Word-Based Translation Model.
EMNLP-CoNLL
Kang Liu, Liheng Xu, Jun Zhao
2012 — conf
Research on Semantic Label Extraction of Domain Entity Relation Based on CRF and Rules.
APWeb Workshops
Jianyi Guo, Jun Zhao, Zhengtao Yu, Lei Su, Nianshu Jiang
2012 — conf
Sweat2012: Pattern based English Slot Filling System for Knowledge Base Population at TAC 2012.
TAC
Fang Liu, Jun Zhao
2012 — conf
The NLPRIR Entity Linking System at TAC 2012.
TAC
Tao Zhang, Kang Liu, Jun Zhao
2012 A conf
Topic-sensitive probabilistic model for expert finding in question answer communities.
CIKM
Guangyou Zhou, Siwei Lai, Kang Liu, Jun Zhao
2012 — conf
Topical Authority Identification in Community Question Answering.
CCPR
Guangyou Zhou, Kang Liu, Jun Zhao
2011 A* conf
Collective entity linking in web text: a graph-based method.
SIGIR
Xianpei Han, Le Sun, Jun Zhao
2011 A* conf
Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing.
ACL
Guangyou Zhou, Jun Zhao, Kang Liu, Li Cai
2011 B conf
Improving Dependency Parsing with Fined-Grained Features.
IJCNLP
Guangyou Zhou, Li Cai, Kang Liu, Jun Zhao
2011 A conf
Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge.
CIKM
Li Cai, Guangyou Zhou, Kang Liu, Jun Zhao
2011 B conf
Learning the Latent Topics for Question Retrieval in Community QA.
IJCNLP
Li Cai, Guangyou Zhou, Kang Liu, Jun Zhao
2011 A* conf
Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives.
ACL
Guangyou Zhou, Li Cai, Jun Zhao, Kang Liu
2011 — conf
The NLPR_TAC Entity Linking System at TAC 2011.
TAC
Tao Zhang, Kang Liu, Jun Zhao
2010 A* conf
Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation.
ACL
Xianpei Han, Jun Zhao
2010 A conf
Topic-driven web search result organization by leveraging wikipedia semantic knowledge.
CIKM
Xianpei Han, Jun Zhao
2009 — conf
A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment.
ACL/IJCNLP
Fan Yang, Jun Zhao, Kang Liu
2009 A conf
Cross-domain sentiment classification using a two-stage method.
CIKM
Kang Liu, Jun Zhao
2009 — conf
NLPR_KBP in TAC 2009 KBP Track: A Two-Stage Method to Entity Linking.
TAC
Xianpei Han, Jun Zhao
2009 A conf
Named entity disambiguation by leveraging wikipedia semantic knowledge.
CIKM
Xianpei Han, Jun Zhao
2009 — conf
Web personal name disambiguation based on reference entity tables mined from the web.
WIDM
Xianpei Han, Jun Zhao
2008 A* conf
Adding Redundant Features for CRFs-based Sentence Sentiment Classification.
EMNLP
Jun Zhao, Kang Liu, Gen Wang
2008 B conf
CRFs-Based Named Entity Recognition Incorporated with Heuristic Entity List Searching.
IJCNLP
Fan Yang, Jun Zhao, Bo Zou
2008 A* conf
Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages.
ACL
Fan Yang, Jun Zhao, Bo Zou, Kang Liu, Feifan Liu
2008 — conf
NLPR at Multilingual Opinion Analysis Task in NTCIR7.
NTCIR
Kang Liu, Jun Zhao
2008 J jnl
Product named entity recognition in Chinese text.
Lang. Resour. Evaluation
Jun Zhao, Feifan Liu
2007 J jnl
Linguistic Theory Based Contextual Evidence Mining for Statistical Chinese Co-Reference Resolution.
J. Comput. Sci. Technol.
Jun Zhao, Feifan Liu
2007 — conf
NLPR in TREC 2007 Blog Track.
TREC
Kang Liu, Gen Wang, Xianpei Han, Jun Zhao
2007 — conf
Probabilistic Models for Action-Based Chinese Dependency Parsing.
ECML
Xiangyu Duan, Jun Zhao, Bo Xu
2007 — conf
Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing.
EMNLP-CoNLL
Xiangyu Duan, Jun Zhao, Bo Xu
2007 A* conf
Ungreedy Methods for Chinese Deterministic Dependency Parsing.
AAAI
Xiangyu Duan, Jun Zhao, Bo Xu
2007 C conf
Using Clustering Approaches to Open-Domain Question Answering.
CICLing
Youzheng Wu, Hideki Kashioka, Jun Zhao
2007 A* conf
Word Sense Disambiguation through Sememe Labeling.
IJCAI
Xiangyu Duan, Jun Zhao, Bo Xu
2006 — conf
A Learning Based Model for Chinese Co-reference Resolution by Mining Contextual Evidence.
FSKD
Feifan Liu, Jun Zhao
2006 — conf
Cluster-Based Language Model for Sentence Retrieval in Chinese Question Answering.
SIGHAN@COLING/ACL
Youzheng Wu, Jun Zhao, Bo Xu
2005 — conf
Chinese Named Entity Recognition with Multiple Features.
HLT/EMNLP
Youzheng Wu, Jun Zhao, Bo Xu, Hao Yu
2005 — conf
Chinese Question Classification from Approach and Semantic Views.
AIRS
Youzheng Wu, Jun Zhao, Bo Xu
2005 — conf
Product Named Entity Recognition Based on Hierarchical Hidden Markov Model.
SIGHAN@IJCNLP 2005
Feifan Liu, Jun Zhao, Bibo Lv, Bo Xu, Hao Yu
2004 J jnl
A co-chunk based method for spoken-language translation.
J. Chin. Lang. Comput.
Wei Cheng, Jun Zhao, Feifan Liu, Bo Xu
2004 B conf
Bilingual Chunk Alignment Based on Interactional Matching and Probabilistic Latent Semantic Indexing.
IJCNLP
Feifan Liu, Qianli Jin, Jun Zhao, Bo Xu
2004 — conf
NLPR at TREC 2004: Robust Experiments.
TREC
Jin Xu, Jun Zhao, Bo Xu
2004 B conf
Window-Based Method for Information Retrieval.
IJCNLP
Qianli Jin, Jun Zhao, Bo Xu
2003 — conf
Chinese Named Entity Recognition Combining Statistical Model wih Human Knowledge.
NER@ACL
Youzheng Wu, Jun Zhao, Bo Xu
2003 — conf
NLPR at TREC 2003: Novelty and Robust.
TREC
Qianli Jin, Jun Zhao, Bo Xu
2000 A* conf
An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing.
ACL
Zhifang Sui, Jun Zhao, Dekai Wu
1999 A* conf
An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models.
EMNLP
Dekai Wu, Jun Zhao, Zhifang Sui
1999 — conf
An information-based method for selecting feature types for word prediction.
EUROSPEECH
Dekai Wu, Zhifang Sui, Jun Zhao