SPINE: Structural Identity Preserved Inductive Network Embedding. - Junliang Guo; Linli Xu; Jingchang Chen (CoRR, 2018)

SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. - Zekun Wang 001; Jingchang Chen; Wangchunshu Zhou; Ming Liu 004; Bing Qin 001 (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)

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)

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. - Zekun Wang 001; Jingchang Chen; Wangchunshu Zhou; Haichao Zhu; Jiafeng Liang; Liping Shan; Ming Liu 004; Dongliang Xu; Qing Yang 033; Bing Qin 001 (LREC/COLING, 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)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Huiming Fan; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (CoRR, 2024)

DeepSeek-V3 Technical Report. - DeepSeek-AI; Aixin Liu; Bei Feng; Bing Xue; Bingxuan Wang; Bochao Wu; Chengda Lu; Chenggang Zhao; Chengqi Deng; Chenyu Zhang; Chong Ruan; Damai Dai; et al. (CoRR, 2024)

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering. - Zheng Chu; Huiming Fan; Jingchang Chen; Qianyu Wang; Mingda Yang; Jiafeng Liang; Zhongjie Wang 003; Hao Li; Guo Tang; Ming Liu 004; Bing Qin 001 (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 002; Lizi Liao; Zihao Zheng; Zheng Chu; Jiafeng Liang; Ming Liu 004; Bing Qin 001 (ACL (Findings), 2025)

CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. - Yuxin Wang 002; Minghua Ma; Zekun Wang 001; Jingchang Chen; Liping Shan; Qing Yang 033; Dongliang Xu; Ming Liu 004; Bing Qin 001 (COLING, 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)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. - DeepSeek-AI; Daya Guo; Dejian Yang; Haowei Zhang; Junxiao Song; Ruoyu Zhang; Runxin Xu; Qihao Zhu; Shirong Ma; Peiyi Wang; Xiao Bi; Xiaokang Zhang; et al. (CoRR, 2025)

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering. - Zheng Chu; Huiming Fan; Jingchang Chen; Qianyu Wang; Ming-Hsuan Yang 001; Jiafeng Liang; Zhongjie Wang 003; Hao Li; Guo Tang; Ming Liu 004; Bing Qin 001 (CoRR, 2025)