Kai Xiong

35 papers A* 2Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
ARM: Role-Conditioned Neuron Transplantation for Training-Free Generalist LLM Agent Merging.
CoRR
Zhuoka Feng, Kang Chen, Sihan Zhao, Kai Xiong, Yaoning Wang, Minshen Yu, Junjie Nian, Changyi Xiao, Yixin Cao, Yugang Jiang
2026 J jnl
Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration.
CoRR
Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2026 J jnl
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization.
CoRR
Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2026 J jnl
NEX: Neuron Explore-Exploit Scoring for Label-Free Chain-of-Thought Selection and Model Ranking.
CoRR
Kang Chen, Zhuoka Feng, Sihan Zhao, Kai Xiong, Junjie Nian, Yaoning Wang, Changyi Xiao, Yixin Cao
2026 J jnl
Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs.
Neural Networks
Peng Wang, Xiao Ding, Kai Xiong, Bing Qin, Ting Liu
2025 — conf
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns.
ACL (1)
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2025 — conf
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
ACL (1)
Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu
2025 J jnl
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
CoRR
Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu
2025 J jnl
Com
CoRR
Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu
2025 — conf
Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.
ACL (1)
Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu
2025 J jnl
Do LLMs Signal When They're Right? Evidence from Neuron Agreement.
CoRR
Kang Chen, Yaoning Wang, Kai Xiong, Zhuoka Feng, Wenhe Sun, Haotian Chen, Yixin Cao
2025 J jnl
Improving cross-task generalization with step-by-step instructions.
Sci. China Inf. Sci.
Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong
2025 — conf
Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation.
ACL (Findings)
Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu
2025 J jnl
Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.
CoRR
Yang He, Xiao Ding, Bibo Cai, Yufei Zhang, Kai Xiong, Zhouhao Sun, Bing Qin, Ting Liu
2025 J jnl
Think straight or think again? Continual joint learning of deduction, abduction and induction.
Neural Networks
Kai Xiong, Xiao Ding, Yixin Cao, Yang Zhao, Ting Liu, Bing Qin
2025 J jnl
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection.
CoRR
Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu
2024 — conf
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.
ACL (Findings)
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin
2024 J jnl
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning.
CoRR
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin
2024 J jnl
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning.
CoRR
Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao
2024 — conf
Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts.
ACL (1)
Jiahao Ying, Yixin Cao, Kai Xiong, Long Cui, Yidong He, Yongbin Liu
2024 J jnl
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
CoRR
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024 A* conf
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
NeurIPS
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024 J jnl
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.
CoRR
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2023 — conf
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.
EMNLP (Findings)
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
2023 J jnl
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.
CoRR
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
2023 J jnl
Improving Cross-Task Generalization with Step-by-Step Instructions.
CoRR
Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong
2023 J jnl
Intuitive or Dependent? Investigating LLMs' Robustness to Conflicting Prompts.
CoRR
Jiahao Ying, Yixin Cao, Kai Xiong, Yidong He, Long Cui, Yongbin Liu
2022 J jnl
A Graph Enhanced BERT Model for Event Prediction.
CoRR
Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin
2022 J jnl
Enhancing pretrained language models with structured commonsense knowledge for textual inference.
Knowl. Based Syst.
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2022 A* conf
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
EMNLP
Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai
2022 J jnl
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
CoRR
Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai
2022 — conf
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.
ACL (1)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2022 J jnl
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.
CoRR
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2021 — conf
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning.
ACL/IJCNLP (1)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2021 J jnl
Heterogeneous graph knowledge enhanced stock market prediction.
AI Open
Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin