LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models. - Yixuan Weng; Zhiqi Wang; Huanxuan Liao; Shizhu He; Shengping Liu; Kang Liu 001; Jun Zhao 001 (CoRR, 2023)

From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. - Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Yanchao Hao; Shengping Liu; Kang Liu 001; Jun Zhao 001 (NeurIPS, 2024)

Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models. - Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Kang Liu 001; Shengping Liu; Jun Zhao 001 (CoRR, 2024)

SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. - Huanxuan Liao; Shizhu He; Yupu Hao; Xiang Li; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (CoRR, 2024)

CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance. - Yupu Hao; Pengfei Cao; Zhuoran Jin; Huanxuan Liao; Yubo Chen 001; Kang Liu 001; Jun Zhao 001 (AAAI, 2025)

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. - Huanxuan Liao; Shizhu He; Yao Xu; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (AAAI, 2025)

Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity. - Yupu Hao; Pengfei Cao; Zhuoran Jin; Huanxuan Liao; Yubo Chen 001; Kang Liu 001; Jun Zhao 001 (ACL (1), 2025)

SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. - Huanxuan Liao; Shizhu He; Yupu Hao; Xiang Li; Yuanzhe Zhang; Jun Zhao 001; Kang Liu 001 (COLING, 2025)

Awakening 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 001; Jun Zhao 001 (COLING, 2025)

VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models. - Wangtao Sun; Haotian Xu; Huanxuan Liao; Xuanqing Yu; Zhongtao Jiang; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning. - Huanxuan Liao; Shizhu He; Yupu Hao; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

A Comprehensive Survey on Long Context Language Modeling. - Jiaheng Liu; Dawei Zhu; Zhiqi Bai; Yancheng He; Huanxuan Liao; Haoran Que; Zekun Wang; Chenchen Zhang; Ge Zhang 009; Jiebin Zhang; Yuanxing Zhang; Zhuo Chen; et al. (CoRR, 2025)

Better wit than wealth: Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement. - Yuqiao Tan; Shizhu He; Huanxuan Liao; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention. - Huanxuan Liao; Wen Hu; Yao Xu; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)