2025
MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
EMNLP 2025
How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future
Zerui Chen, Huiming Fan, Qianyu Wang, Tao He, Ming Liu, Chang Heng, Weijiang Yu, Ze Li, Bing Qin
EMNLP 2025
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning
Tao He, Lizi Liao, Ming Liu, Bing Qin
SIGIR 2025
Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning
Yexing Du, Youcheng Pan, Ziyang Ma, Bo Yang, Yifan Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin
ACL 2025
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency
Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin
ACL 2025
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin
ACL 2025
AnRe: Analogical Replay for Temporal Knowledge Graph Forecasting
Guo Tang, Zheng Chu, Wenxiang Zheng, Junjia Xiang, Yizhuo Li, Weihao Zhang, Ming Liu, Bing Qin
ACL 2025
EffiVLM-Bench: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Visual-Language Models
Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mou, Liping Shan, Ming Liu, Bing Qin
ACL 2025
From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities
Shixin Jiang, Jiafeng Liang, Jiyuan Wang, Xuan Dong, Heng Chang, Weichang Yu, Jinhua Du, Ming Liu, Bing Qin
ACL(Findings) 2025
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Mingda Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin
ACL(Findings) 2025
Breaking the Reasoning Barrier: A Survey on LLM Complex Reasoning through the Lens of Self-Evolution
Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin
ACL(Findings) 2025
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma
ICLR 2025
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin
AAAI 2025
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information
Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
COLING 2025
Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation
Zheng Chu, Jingchang Chen, Zhongjie Wang, Guo Tang, Qianglong Chen, Ming Liu, Bing Qin
COLING 2025
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models
Zike Yuan, Ming Liu, Hui Wang, Bing Qin
COLING 2025
PRAE: Progressive Retrieval-Augmented Dynamic Knowledge Editing for Large Language Models
Hao Li, Zheng Chu, Jiafeng Liang, Yuxin Wang, Wei Tang, Xun Mao, Kai Lv, Lei Chen, Ming Liu, Bing Qin
Frontiers of Computer Science 2025
2024
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
NeurIPS 2024
Towards Benchmarking Situational Awareness of Large Language Models: Comprehensive Benchmark, Evaluation and Analysis
Guo Tang, Zheng Chu, Wenxiang Zheng, Ming Liu, Bing Qin
EMNLP(Findings) 2024
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models
Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin
EMNLP(Findings) 2024
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
EMNLP(Findings) 2024
Navigate through Enigmatic Labyrinth. A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu
ACL 2024
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin
ACL 2024
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kuan Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin
ACL 2024
Planning Like Human: A Dual-process Framework for Dialogue Planning
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
ACL 2024
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
IJCAI 2024
Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition
Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
LREC-COLING 2024 (Best Paper Candidate, Top 10)
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models
Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin
LREC-COLING 2024
Relational Graph-Bridged Image-Text Interaction: A Novel Method For Multi-Modal Relation Extraction
Zihao Zheng, Tao He, Ming Liu, Zhongyuan Wang, Ruiji Fu, Bing Qin
ICASSP 2024
Relation Inquiry: A Novel Synchronous Joint Extractor for Entities and Relations
Wei Tang, Zexin Wang, Xun Mao, Kai Lv, Xu Han, Ming Liu, Wei Wang, Bing Qin
CCKS-IJCKG 2024 (Best Paper)
Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion
Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin
Frontiers of Computer Science 2024
VEM^2L: An Easy but Effective Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion
Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin
Data Mining and Knowledge Discovery 2024
2023
MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document
Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
EMNLP(Findings) 2023
GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation
Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
IJCAI 2023
Conditional Knowledge Graph: Design, Dataset and a Preliminary Model
Yaojia Lv, Zihao Zheng, Ming Liu, Bing Qin
CCKS 2023 (Best Paper)
MALN: Multimodal Adversarial Learning Network for Conversational Emotion Recognition
Minjie Ren, Xiangdong Huang, Jing Liu, Ming Liu, Xuanya Li, Anan Liu
IEEE Transactions on Circuits and Systems for Video Technology 2023
A speaker-aware multiparty dialogue discourse parser with heterogeneous graph neural network
Jiaqi Li, Ming Liu, Yuxin Wang, Daxing Zhang, Bing Qin
Cognitive Systems Research 2023