| 2026 | AAAI | Test-Time Reinforcement Learning for GUI Grounding via Region Consistency. | Yong Du, Yuchen Yan, Fei Tang, Zhengxi Lu, Chang Zong, Weiming Lu, Shengpei Jiang, Yongliang Shen |
| 2026 | AAAI | Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM's Theory of Mind in Egocentric Videos. | Guiyang Hou, Yihui Fu, Chen Wu, Xiang Huang, Zhe Zheng, Wenqi Zhang, Yongliang Shen, Weiming Lu |
| 2026 | AAAI | GUI-G²: Gaussian Reward Modeling for GUI Grounding. | Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen, Changhua Meng, Wen Wang, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang |
| 2026 | ACL | ToM-Synth: Scaling Robust Theory of Mind in LLMs via 6, 912 Structured Social Units. | Guiyang Hou, Xiang Huang, Shangke Lyu, Yuchuan Wu, Weiyao Luo, Xinyu Mei, Yongliang Shen, Weiming Lu, Yongbin Li |
| 2026 | ACL | Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning. | Hengwei Liu, Haoyuan Ma, Qingqing Lyu, Daoxin Zhang, Yao Hu, Yongliang Shen, Yin Zhang, Weiming Lu |
| 2026 | ACL | UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization. | Zhengxi Lu, Fei Tang, Guangyi Liu, Jin Ma, Kaitao Song, Xu Tan, Wenqi Zhang, Weiming Lu, Jun Xiao, Yueting Zhuang, Yongliang Shen |
| 2026 | ACL | Experience-driven Multi-turn Reinforcement Learning for GUI Agents. | Zhengxi Lu, Jiabo Ye, Fei Tang, Yongliang Shen, Haiyang Xu, Ziwei Zheng, Weiming Lu, Ming Yan, Fei Huang, Jun Xiao, Yueting Zhuang |
| 2026 | ACL | AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMs. | Qingqing Lyu, Linjuan Wu, Yongliang Shen, Hengwei Liu, Hao Li, Shengpei Jiang, Yin Zhang, Weiming Lu |
| 2026 | ACL | CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution. | Teng Pan, Yuchen Yan, Zixuan Wang, Ruiqing Zhang, Guiyang Hou, Wenqi Zhang, Weiming Lu, Jun Xiao, Yongliang Shen |
| 2026 | ACL | Pause or Fabricate? Training Language Models for Grounded Reasoning. | Yiwen Qiu, Linjuan Wu, Yizhou Liu, Yuchen Yan, Jin Ma, Xu Tan, Yao Hu, Daoxin Zhang, Wenqi Zhang, Weiming Lu, Jun Xiao, Yongliang Shen |
| 2026 | ACL | Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts. | Haolei Xu, Haiwen Hong, Hongxing Li, Rui Zhou, Yang Zhang, Longtao Huang, Hui Xue, Yongliang Shen, Weiming Lu, Yueting Zhuang |
| 2026 | ACL | Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese. | Xing Yue, Yongliang Shen, Weiming Lu |
| 2026 | ACL | Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks. | Wenqi Zhang, Mengna Wang, Gangao Liu, Huixin Xu, Yiwei Jiang, Yongliang Shen, Guiyang Hou, Zhe Zheng, Hang Zhang, Xin Li, Jiajun Liu, Weiming Lu, Peng Li, Yueting Zhuang |
| 2025 | AAAI | G2LDetect: A Global-to-Local Approach for Hallucination Detection. | Xiaoxia Cheng, Zeqi Tan, Zhe Zheng, Weiming Lu |
| 2025 | ACL | STaR-SQL: Self-Taught Reasoner for Text-to-SQL. | Mingqian He, Yongliang Shen, Wenqi Zhang, Qiuying Peng, Jun Wang, Weiming Lu |
| 2025 | ACL | Scaling LLMs' Social Reasoning: Sprinkle Cognitive "Aha Moment" into Fundamental Long-thought Logical Capabilities. | Guiyang Hou, Wenqi Zhang, Zhe Zheng, Yongliang Shen, Weiming Lu |
| 2025 | ACL | From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning. | Linjuan Wu, Haoran Wei, Baosong Yang, Weiming Lu |
| 2025 | EMNLP | Logic: Long-form Outline Generation via Imitative and Critical Self-refinement. | Hengwei Liu, Yongliang Shen, Zhe Zheng, Haoyuan Ma, Xingyu Wu, Yin Zhang, Weiming Lu |
| 2025 | EMNLP | DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL. | Haoyuan Ma, Yongliang Shen, Hengwei Liu, Wenqi Zhang, Haolei Xu, Qiuying Peng, Jun Wang, Weiming Lu |
| 2025 | EMNLP | Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training. | Linjuan Wu, Haoran Wei, Huan Lin, Tianhao Li, Baosong Yang, Fei Huang, Weiming Lu |
| 2025 | EMNLP | AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification. | Xuan Zhang, Yongliang Shen, Zhe Zheng, Linjuan Wu, Wenqi Zhang, Yuchen Yan, Qiuying Peng, Jun Wang, Weiming Lu |
| 2025 | ICCV | 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining. | Wenqi Zhang, Hang Zhang, Xin Li, Jiashuo Sun, Yongliang Shen, Weiming Lu, Deli Zhao, Yueting Zhuang, Lidong Bing |
| 2025 | IJCNLP | ProSwitch: Knowledge-Guided Instruction Tuning to Switch Between Professional and Non-Professional Responses. | Chang Zong, Yuyan Chen, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang |
| 2025 | NAACL | Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification. | Ang Li, Yiquan Wu, Ming Cai, Adam Jatowt, Xiang Zhou, Weiming Lu, Changlong Sun, Fei Wu, Kun Kuang |
| 2024 | AAAI | De-biased Attention Supervision for Text Classification with Causality. | Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang |
| 2024 | ACL | Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models. | Guiyang Hou, Yongliang Shen, Weiming Lu |
| 2024 | ACL | TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind. | Guiyang Hou, Wenqi Zhang, Yongliang Shen, Linjuan Wu, Weiming Lu |
| 2024 | ACL | Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning. | Zeqi Tan, Yongliang Shen, Xiaoxia Cheng, Chang Zong, Wenqi Zhang, Jian Shao, Weiming Lu, Yueting Zhuang |
| 2024 | ACL | Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning. | Yiquan Wu, Anlai Zhou, Yuhang Liu, Yifei Liu, Adam Jatowt, Weiming Lu, Jun Xiao, Kun Kuang |
| 2024 | ACL | Insert or Attach: Taxonomy Completion via Box Embedding. | Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu |
| 2024 | ACL | Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives. | Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu |
| 2024 | ACL | Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization. | Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu |
| 2024 | EMNLP | Advancing Process Verification for Large Language Models via Tree-Based Preference Learning. | Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu |
| 2024 | EMNLP | Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model. | Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang |
| 2024 | EMNLP | Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering. | Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang |
| 2024 | ICASSP | Shapley Value Guided Extractive Text Summarization. | Xiaoxia Cheng, Weiming Lu |
| 2024 | NAACL | Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. | Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang |
| 2023 | ACL | DiffusionNER: Boundary Diffusion for Named Entity Recognition. | Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang |
| 2023 | ACL | PromptNER: Prompt Locating and Typing for Named Entity Recognition. | Yongliang Shen, Zeqi Tan, Shuhui Wu, Wenqi Zhang, Rongsheng Zhang, Yadong Xi, Weiming Lu, Yueting Zhuang |
| 2023 | ACL | A Set Prediction Network For Extractive Summarization. | Xiaoxia Cheng, Yongliang Shen, Weiming Lu |
| 2023 | ACL | Focus-aware Response Generation in Inquiry Conversation. | Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang |
| 2023 | EMNLP | Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization. | Guiyang Hou, Yongliang Shen, Wenqi Zhang, Wei Xue, Weiming Lu |
| 2023 | EMNLP | MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition. | Shuhui Wu, Yongliang Shen, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu |
| 2023 | EMNLP | Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages. | Linjuan Wu, Zongyi Guo, Baoliang Cui, Haihong Tang, Weiming Lu |
| 2023 | EMNLP | Struct-XLM: A Structure Discovery Multilingual Language Model for Enhancing Cross-lingual Transfer through Reinforcement Learning. | Linjuan Wu, Weiming Lu |
| 2023 | EMNLP | Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. | Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang |
| 2023 | EMNLP | An Expression Tree Decoding Strategy for Mathematical Equation Generation. | Wenqi Zhang, Yongliang Shen, Qingpeng Nong, Zeqi Tan, Yanna Ma, Weiming Lu |
| 2023 | SIGIR | ML-LJP: Multi-Law Aware Legal Judgment Prediction. | Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang |
| 2022 | ACL | Parallel Instance Query Network for Named Entity Recognition. | Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang |
| 2022 | ACL | De-Bias for Generative Extraction in Unified NER Task. | Shuai Zhang, Yongliang Shen, Zeqi Tan, Yiquan Wu, Weiming Lu |
| 2022 | CIKM | Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction. | Xinyu Zhu, Yongliang Shen, Weiming Lu |
| 2022 | EMNLP | Query-based Instance Discrimination Network for Relational Triple Extraction. | Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang |
| 2022 | EMNLP | Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment. | Yechun Tang, Xiaoxia Cheng, Weiming Lu |
| 2022 | EMNLP | Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework. | Yiquan Wu, Yifei Liu, Weiming Lu, Yating Zhang, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang |
| 2022 | EMNLP | Multi-View Reasoning: Consistent Contrastive Learning for Math Word Problem. | Wenqi Zhang, Yongliang Shen, Yanna Ma, Xiaoxia Cheng, Zeqi Tan, Qingpeng Nong, Weiming Lu |
| 2022 | IJCAI | Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. | Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu |
| 2022 | IJCAI | Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition. | Shuhui Wu, Yongliang Shen, Zeqi Tan, Weiming Lu |
| 2022 | IJCAI | A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation. | Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu |
| 2022 | NAACL | Minimally-Supervised Relation Induction from Pre-trained Language Model. | Lu Sun, Yongliang Shen, Weiming Lu |
| 2021 | ACL | Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition. | Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang, Weiming Lu |
| 2021 | EMNLP | MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations. | Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu |
| 2021 | IJCAI | A Sequence-to-Set Network for Nested Named Entity Recognition. | Zeqi Tan, Yongliang Shen, Shuai Zhang, Weiming Lu, Yueting Zhuang |
| 2021 | NAACL | Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data. | Chenghao Jia, Yongliang Shen, Yechun Tang, Lu Sun, Weiming Lu |
| 2021 | WWW | A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction. | Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu |
| 2020 | EMNLP | Adversarial Self-Supervised Data-Free Distillation for Text Classification. | Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu |
| 2020 | EMNLP | SynET: Synonym Expansion using Transitivity. | Jiale Yu, Yongliang Shen, Xinyin Ma, Chenghao Jia, Chen Chen, Weiming Lu |
| 2020 | IJCAI | Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network. | Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu |
| 2019 | AAAI | Concept Extraction and Prerequisite Relation Learning from Educational Data. | Weiming Lu, Yangfan Zhou, Jiale Yu, Chenhao Jia |
| 2019 | ECIR | Incorporating External Knowledge to Boost Machine Comprehension Based Question Answering. | Huan Wang, Weiming Lu, Zeyun Tang |
| 2016 | IJCAI | Diverse Image Captioning via GroupTalk. | Zhuhao Wang, Fei Wu, Weiming Lu, Jun Xiao, Xi Li, Zitong Zhang, Yueting Zhuang |
| 2015 | IJCAI | Sketch the Storyline with CHARCOAL: A Non-Parametric Approach. | Siliang Tang, Fei Wu, Si Li, Weiming Lu, Zhongfei Zhang, Yueting Zhuang |
| 2015 | NAACL | Short Text Understanding by Leveraging Knowledge into Topic Model. | Shansong Yang, Weiming Lu, Dezhi Yang, Liang Yao, Baogang Wei |
| 2013 | AAAI | Supervised Coupled Dictionary Learning with Group Structures for Multi-modal Retrieval. | Yueting Zhuang, Yanfei Wang, Fei Wu, Yin Zhang, Weiming Lu |
| 2012 | CLUSTER | Transactional Multi-row Access Guarantee in the Key-Value Store. | Yaoguang Wang, Weiming Lu, Baogang Wei |
| 2012 | CLUSTER | HAaaS: Towards Highly Available Distributed Systems. | Yaoguang Wang, Weiming Lu, Bin Yu, Baogang Wei |
| 2007 | ICICS | What Semantic Equivalences Are Suitable for Non-interference Properties in Computer Security. | Xiaowei Huang, Li Jiao, Weiming Lu |
| 2007 | TASE | A Semantic Preorder on Refinement and Fairness. | Xiaowei Huang, Li Jiao, Weiming Lu |