Huanxuan Liao - RankMe

21 papers A* 4B 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning. CoRR Huanxuan Liao, Zhongtao Jiang, Yupu Hao, Yuqiao Tan, Shizhu He, Ben Wang, Jun Zhao, Kun Xu, Kang Liu
2026	A*	`conf`	SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. AAAI Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2025	J	`jnl`	A Comprehensive Survey on Long Context Language Modeling. CoRR 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
2025	B	`conf`	Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. COLING Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao
2025	J	`jnl`	Better wit than wealth: Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement. CoRR Yuqiao Tan, Shizhu He, Huanxuan Liao, Jun Zhao, Kang Liu
2025	J	`jnl`	Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention. CoRR Huanxuan Liao, Wen Hu, Yao Xu, Shizhu He, Jun Zhao, Kang Liu
2025	J	`jnl`	Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies. CoRR Yuqiao Tan, Minzheng Wang, Shizhu He, Huanxuan Liao, Chengfeng Zhao, Qiunan Lu, Tian Liang, Jun Zhao, Kang Liu
2025	A*	`conf`	CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance. AAAI Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025	J	`jnl`	DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning. CoRR Huanxuan Liao, Shizhu He, Yupu Hao, Jun Zhao, Kang Liu
2025	—	`conf`	Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity. ACL (1) Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025	J	`jnl`	Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity. CoRR Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2025	A*	`conf`	Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. AAAI Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2025	B	`conf`	SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. COLING Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu
2025	J	`jnl`	SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. CoRR Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2025	J	`jnl`	VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models. CoRR Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu
2024	J	`jnl`	CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance. CoRR Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
2024	A*	`conf`	From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. NeurIPS Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024	J	`jnl`	From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. CoRR Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
2024	J	`jnl`	Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models. CoRR Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao
2024	J	`jnl`	Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. CoRR Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
2023	J	`jnl`	LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models. CoRR Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, Jun Zhao