Huanxuan Liao

According to our database, Huanxuan Liao authored at least 14 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Kang Liu

CoRR, May, 2025

Better wit than wealth: Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement.

Yuqiao Tan, Shizhu He, Huanxuan Liao, Jun Zhao, Kang Liu

CoRR, March, 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, Jiebin Zhang, Yuanxing Zhang, Zhuo Chen, Hangyu Guo, Shilong Li, Ziqiang Liu, Yong Shan, Yifan Song, Jiayi Tian, Wenhao Wu, Zhejian Zhou, Ruijie Zhu, Junlan Feng, Yang Gao, Shizhu He, Zhoujun Li, Tianyu Liu, Fanyu Meng, Wenbo Su, Yingshui Tan, Zili Wang, Jian Yang, Wei Ye, Bo Zheng, Wangchunshu Zhou, Wenhao Huang, Sujian Li, Zhaoxiang Zhang

CoRR, March, 2025

DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning.

Huanxuan Liao, Shizhu He, Yupu Hao, Jun Zhao, Kang Liu

CoRR, February, 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, Kang Liu

CoRR, February, 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, Jun Zhao

Proceedings of the 31st International Conference on Computational Linguistics, 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, Kang Liu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Evaluating 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks.

Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

CITI: 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

<i>SKIntern</i>: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models.

Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Kang Liu, Jun Zhao

CoRR, 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, Shengping Liu, Jun Zhao

CoRR, 2024

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, Jun Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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, Jun Zhao

CoRR, 2023