Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources. - Qianglong Chen; Feng Ji; Haiqing Chen; Yin Zhang 006 (COLING, 2020)

KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference. - Qianglong Chen; Feng Ji; Xiangji Zeng; Feng-Lin Li; Ji Zhang 011; Haiqing Chen; Yin Zhang 006 (ACL/IJCNLP (1), 2021)

K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering. - Fu Sun; Feng-Lin Li; Ruize Wang; Qianglong Chen; Xingyi Cheng; Ji Zhang 011 (CIKM, 2021)

Continual Few-shot Intent Detection. - Guodun Li; Yuchen Zhai; Qianglong Chen; Xing Gao; Ji Zhang 011; Yin Zhang 006 (COLING, 2022)

DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning. - Qianglong Chen; Feng-Lin Li; Guohai Xu; Ming Yan 008; Ji Zhang 011; Yin Zhang 006 (IJCAI, 2022)

mmLayout: Multi-grained MultiModal Transformer for Document Understanding. - Wenjin Wang 003; Zhengjie Huang; Bin Luo; Qianglong Chen; Qiming Peng; Yinxu Pan; Weichong Yin; Shikun Feng; Yu Sun 029; Dianhai Yu; Yin Zhang 006 (ACM Multimedia, 2022)

Rethinking the Value of Gazetteer in Chinese Named Entity Recognition. - Qianglong Chen; Xiangji Zeng; Jiangang Zhu; Yin Zhang 006; Bojia Lin; Yang Yang 012; Daxin Jiang (NLPCC (1), 2022)

Semantic Sentence Composition Reasoning for Multi-Hop Question Answering. - Qianglong Chen (CoRR, 2022)

ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding. - Wenjin Wang 003; Zhengjie Huang; Bin Luo; Qianglong Chen; Qiming Peng; Yinxu Pan; Weichong Yin; Shikun Feng; Yu Sun 029; Dianhai Yu; Yin Zhang 006 (CoRR, 2022)

Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering. - Qianglong Chen; Guohai Xu; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Luo Si; Yin Zhang 006 (ACL (Findings), 2023)

WYWEB: A NLP Evaluation Benchmark For Classical Chinese. - Bo Zhou; Qianglong Chen; Xiaomi Zhong; Yin Zhang 006 (ACL (Findings), 2023)

Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning. - Wenjin Wang 003; Yunqing Hu; Qianglong Chen; Yin Zhang 006 (CVPR, 2023)

AMTSS: An Adaptive Multi-Teacher Single-Student Knowledge Distillation Framework For Multilingual Language Inference. - Qianglong Chen; Feng Ji; Feng-Lin Li; Guohai Xu; Ming Yan 008; Ji Zhang 011; Yin Zhang 006 (CoRR, 2023)

WYWEB: A NLP Evaluation Benchmark For Classical Chinese. - Bo Zhou; Qianglong Chen; Tianyu Wang; Xiaomi Zhong; Yin Zhang 006 (CoRR, 2023)

Large Language Models Are Also Good Prototypical Commonsense Reasoners. - Chenin Li; Qianglong Chen; Yin Zhang 006; Yifei Zhang; Hongxiang Yao (CoRR, 2023)

A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. - Zheng Chu; Jingchang Chen; Qianglong Chen; Weijiang Yu; Tao He; Haotian Wang 007; Weihua Peng; Ming Liu 004; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. - Zhangyin Feng; Weitao Ma; Weijiang Yu; Lei Huang 021; Haotian Wang 007; Qianglong Chen; Weihua Peng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates. - Haotian Wang 007; Xiyuan Du; Weijiang Yu; Qianglong Chen; Kun Zhu 025; Zheng Chu; Lian Yan; Yi Guan (CoRR, 2023)

Mixed Distillation Helps Smaller Language Model Better Reasoning. - Chenglin Li; Qianglong Chen; Caiyu Wang; Yin Zhang 006 (CoRR, 2023)

Knowledge-enhanced Memory Model for Emotional Support Conversation. - Mengzhao Jia; Qianglong Chen; Liqiang Jing; Dawei Fu; Renyu Li (ML4CMH@AAAI, 2024)

An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation. - Kun Zhu 025; Xiaocheng Feng; Xiyuan Du; Yuxuan Gu; Weijiang Yu; Haotian Wang 007; Qianglong Chen; Zheng Chu; Jingchang Chen; Bing Qin 001 (ACL (1), 2024)

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. - Zheng Chu; Jingchang Chen; Qianglong Chen; Haotian Wang 007; Kun Zhu 025; Xiyuan Du; Weijiang Yu; Ming Liu 004; Bing Qin 001 (ACL (1), 2024)

TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. - Zheng Chu; Jingchang Chen; Qianglong Chen; Weijiang Yu; Haotian Wang 007; Ming Liu 004; Bing Qin 001 (ACL (1), 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 007; Weihua Peng; Ming Liu 004; Bing Qin 001; Ting Liu 001 (ACL (1), 2024)

Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search. - Chenglin Li; Qianglong Chen; Zhi Li; Feng Tao; Yicheng Li; Hao Chen; Fei Yu; Yin Zhang (EMNLP (Findings), 2024)

Mixed Distillation Helps Smaller Language Models Reason Better. - Chenglin Li; Qianglong Chen; Liangyue Li; Caiyu Wang; Feng Tao; Yicheng Li; Zulong Chen; Yin Zhang 006 (EMNLP (Findings), 2024)

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. - Jingchang Chen; Hongxuan Tang; Zheng Chu; Qianglong Chen; Zekun Wang 001; Ming Liu 004; Bing Qin 001 (NeurIPS, 2024)

Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Roles. - Lewei He; Tianyu Shi; Pengran Huang; Bingzhi Chen; Qianglong Chen; Jiahui Pan (CoRR, 2024)

VCBench: A Controllable Benchmark for Symbolic and Abstract Challenges in Video Cognition. - Chenglin Li; Qianglong Chen; Zhi Li; Feng Tao; Yin Zhang (CoRR, 2024)

PlanningArena: A Modular Benchmark for Multidimensional Evaluation of Planning and Tool Learning. - Zihan Zheng; Tianle Cui; Chuwen Xie; Jiahui Pan; Qianglong Chen; Lewei He (ACL (1), 2025)

Towards Faithful Multi-step Reasoning through Fine-Grained Causal-aware Attribution Reasoning Distillation. - Zheng Chu; Jingchang Chen; Zhongjie Wang 003; Guo Tang; Qianglong Chen; Ming Liu 004; Bing Qin 001 (COLING, 2025)

Multi-modal multi-agent debate-based dialectical knowledge transfer learning. - Haotian Wang 007; Weijiang Yu; Xiyuan Du; Qianglong Chen; Zheng Chu; Lian Yan; Jingchi Jiang; Yi Guan (Appl. Soft Comput., 2025)

Learning to break: Knowledge-enhanced reasoning in multi-agent debate system. - Haotian Wang 007; Xiyuan Du; Weijiang Yu; Qianglong Chen; Kun Zhu 025; Zheng Chu; Lian Yan; Yi Guan (Neurocomputing, 2025)

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. - Lei Huang 021; Weijiang Yu; Weitao Ma; Weihong Zhong; Zhangyin Feng; Haotian Wang 007; Qianglong Chen; Weihua Peng; Xiaocheng Feng; Bing Qin 001; Ting Liu 001 (ACM Trans. Inf. Syst., 2025)

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs. - Zhangying Feng; Qianglong Chen; Ning Lu 006; Yongqian Li; Siqi Cheng; Shuangmu Peng; Duyu Tang; Shengcai Liu; Zhirui Zhang (CoRR, 2025)

Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding. - Chenglin Li; Qianglong Chen; fengtao; Yin Zhang (CoRR, 2025)

NatureGAIA: Pushing the Frontiers of GUI Agents with a Challenging Benchmark and High-Quality Trajectory Dataset. - Zihan Zheng; Tianle Cui; Chuwen Xie; Jiahui Zhang; Jiahui Pan; Lewei He; Qianglong Chen (CoRR, 2025)

Simple o3: Towards Interleaved Vision-Language Reasoning. - Ye Wang; Qianglong Chen; Zejun Li; Siyuan Wang; Shijie Guo; Zhirui Zhang; Zhongyu Wei (CoRR, 2025)