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Xiao Ding
Publications
- 2026
- [j55]Peng Wang, Xiao Ding, Kai Xiong
, Bing Qin, Ting Liu:
Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs. Neural Networks 194: 108164 (2026) - [i42]Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu:
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization. CoRR abs/2601.07208 (2026) - [i41]Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu:
Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration. CoRR abs/2601.07224 (2026) - 2025
- [j52]Kai Xiong
Think straight or think again? Continual joint learning of deduction, abduction and induction. Neural Networks 191: 107768 (2025) - [c63]Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu:
Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. ACL (1) 2025: 16119-16140 - [c62]Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin:
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns. ACL (1) 2025: 16980-16992 - [c61]Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu:
Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation. ACL (Findings) 2025: 17372-17382 - [c60]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:
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. ACL (1) 2025: 24391-24404 - [i38]Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. CoRR abs/2502.11062 (2025) - [i36]Yang Zhao, Kai Xiong
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection. CoRR abs/2505.12457 (2025) - [i34]Yang He, Xiao Ding, Bibo Cai, Yufei Zhang, Kai Xiong
Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning. CoRR abs/2505.20664 (2025) - [i31]Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu:
Com2: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. CoRR abs/2506.07064 (2025) - 2024
- [c51]Yang Zhao, Li Du, Xiao Ding, Kai Xiong
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. ACL (Findings) 2024: 9386-9406 - [c45]Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao:
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. NeurIPS 2024 - [i28]Yang Zhao, Li Du, Xiao Ding, Kai Xiong
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. CoRR abs/2402.11537 (2024) - [i27]Kai Xiong
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. CoRR abs/2403.09085 (2024) - [i21]Kai Xiong
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. CoRR abs/2408.11431 (2024) - [i19]Yang Zhao, Li Du, Xiao Ding, Kai Xiong
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads. CoRR abs/2409.15820 (2024) - 2023
- [c40]Kai Xiong
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. EMNLP (Findings) 2023: 7572-7590 - [i16]Kai Xiong
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate. CoRR abs/2305.11595 (2023) - 2022
- [j23]Li Du
Enhancing pretrained language models with structured commonsense knowledge for textual inference. Knowl. Based Syst. 254: 109488 (2022) - [c36]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. ACL (1) 2022: 432-446 - [c32]Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022: 6426-6438 - [i13]Li Du, Xiao Ding, Kai Xiong
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. CoRR abs/2205.05849 (2022) - [i12]Li Du, Xiao Ding, Yue Zhang, Kai Xiong
A Graph Enhanced BERT Model for Event Prediction. CoRR abs/2205.10822 (2022) - [i9]Kai Xiong
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. CoRR abs/2212.08322 (2022) - 2021
- [j21]Kai Xiong
Heterogeneous graph knowledge enhanced stock market prediction. AI Open 2: 168-174 (2021) - [c30]Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL/IJCNLP (1) 2021: 2354-2363
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