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Huanxuan Liao

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

10

Venues

3

Active years

2025–2026

Best venue rank

A*

Where they publish

Papers

10 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAISparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning.Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2026ACLHarmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs.Jinhui Chen, Shizhu He, Xingchang Yang, Huanxuan Liao, Yequan Wang, Xiangwen Liao, Wenhao Teng, Kang Liu, Jun Zhao
2026ACLPushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation.Yupu Hao, Zhuoran Jin, Huanxuan Liao, Kang Liu, Jun Zhao
2026ACLSpectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs.Huanxuan Liao, Shizhu He, Yupu Hao, Yequan Wang, Wenhao Teng, Xiangwen Liao, Jun Zhao, Kang Liu
2026ACLShuttle Between Symbolic Instructions and Neural Parameters of Large Language Models.Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu
2025AAAICITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance.Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025AAAINeural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks.Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2025ACLEvaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity.Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025COLINGSKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models.Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu
2025COLINGAwakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering.Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao