ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. - Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (ACL/IJCNLP (1), 2021)

Heterogeneous graph knowledge enhanced stock market prediction. - Kai Xiong 002; Xiao Ding; Li Du; Ting Liu 001; Bing Qin 001 (AI Open, 2021)

e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. - Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (ACL (1), 2022)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. - Kai Xiong 002; Xiao Ding; Zhongyang Li; Li Du; Ting Liu 001; Bing Qin 001; Yi Zheng; Baoxing Huai (EMNLP, 2022)

A Graph Enhanced BERT Model for Event Prediction. - Li Du; Xiao Ding; Yue Zhang 004; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (CoRR, 2022)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. - Kai Xiong 002; Xiao Ding; Zhongyang Li; Li Du; Bing Qin 001; Yi Zheng; Baoxing Huai (CoRR, 2022)

Enhancing pretrained language models with structured commonsense knowledge for textual inference. - Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (Knowl. Based Syst., 2022)

Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Ting Liu 001; Bing Qin 001 (EMNLP (Findings), 2023)

Improving Cross-Task Generalization with Step-by-Step Instructions. - Yang Wu 010; Yanyan Zhao; Zhongyang Li; Bing Qin 001; Kai Xiong 002 (CoRR, 2023)

Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Ting Liu 001; Bing Qin 001 (CoRR, 2023)

Intuitive or Dependent? Investigating LLMs' Robustness to Conflicting Prompts. - Jiahao Ying; Yixin Cao 002; Kai Xiong 002; Yidong He; Long Cui; Yongbin Liu (CoRR, 2023)

Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts. - Jiahao Ying; Yixin Cao 002; Kai Xiong 002; Long Cui; Yidong He; Yongbin Liu (ACL (1), 2024)

Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Zhouhao Sun; Shi Jun; Ting Liu 001; Bing Qin 001 (ACL (Findings), 2024)

Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (NeurIPS, 2024)

Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Zhouhao Sun; Jun Shi; Ting Liu 001; Bing Qin 001 (CoRR, 2024)

Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. - Kai Xiong 002; Xiao Ding; Ting Liu 001; Bing Qin 001; Dongliang Xu; Qing Yang 033; Hongtao Liu; Yixin Cao 002 (CoRR, 2024)

Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. - Kai Xiong 002; Xiao Ding; Li Du; Jiahao Ying; Ting Liu 001; Bing Qin 001; Yixin Cao 002 (CoRR, 2024)

Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (CoRR, 2024)

Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yuxiong Yan; Li Du; Yufei Zhang; Jinglong Gao; Jiaqian Liu; Bing Qin 001; Ting Liu 001 (ACL (1), 2025)

Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation. - Jihao Shi; Xiao Ding; Kai Xiong 002; Hengwei Zhao; Bing Qin 001; Ting Liu 001 (ACL (Findings), 2025)

Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns. - Yang Zhao 023; Li Du; Xiao Ding; Kai Xiong 002; Ting Liu 001; Bing Qin 001 (ACL (1), 2025)

Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. - Yang Zhao 023; Li Du; Xiao Ding; Yangou Ouyang; Hepeng Wang; Kai Xiong 002; Jinglong Gao; Zhouhao Sun; Dongliang Xu; Qing Yang 033; Dongchen Li; Bing Qin 001; et al. (ACL (1), 2025)

Think straight or think again? Continual joint learning of deduction, abduction and induction. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yang Zhao 023; Ting Liu 001; Bing Qin 001 (Neural Networks, 2025)

UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection. - Yang Zhao 023; Kai Xiong 002; Xiao Ding; Li Du; YangouOuyang; Zhouhao Sun; Jiannan Guan; Wenbin Zhang; Bin Liu; Dong Hu; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning. - Yang He; Xiao Ding; Bibo Cai; Yufei Zhang; Kai Xiong 002; Zhouhao Sun; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

Com2: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. - Kai Xiong 002; Xiao Ding; Yixin Cao 002; Yuxiong Yan; Li Du; Yufei Zhang; Jinglong Gao; Jiaqian Liu; Bing Qin 001; Ting Liu 001 (CoRR, 2025)