Kai Xiong
Orcid: 0000-0002-5909-3075Affiliations:
- Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China
According to our database1,
Kai Xiong
authored at least 26 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Com<sup>2</sup>: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.
CoRR, June, 2025
Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.
CoRR, May, 2025
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection.
CoRR, May, 2025
Think straight or think again? Continual joint learning of deduction, abduction and induction.
Neural Networks, 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.
CoRR, 2024
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning.
CoRR, 2024
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
CoRR, 2024
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning.
CoRR, 2024
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
CoRR, 2023
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.
CoRR, 2023
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Enhancing pretrained language models with structured commonsense knowledge for textual inference.
Knowl. Based Syst., 2022
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
CoRR, 2022
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021