Chonghua Liao - RankMe

13 papers A* 1C 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MemPO: Self-Memory Policy Optimization for Long-Horizon Agents. CoRR Ruoran Li, Xinghua Zhang, Haiyang Yu, Shitong Duan, Xiang Li, Wenxin Xiang, Chonghua Liao, Xudong Guo, Yongbin Li, Jinli Suo
2026	J	`jnl`	SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization. CoRR Jinyang Wu, Changpeng Yang, Yuhao Shen, Fangzhi Xu, Bolin Ni, Chonghua Liao, Yuchen Liu, Hongzhen Wang, Shuai Nie, Shuai Zhang, Haoran Luo, Jiaming Xu
2025	J	`jnl`	Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints. CoRR Zilin Kang, Chonghua Liao, Tingqiang Xu, Huazhe Xu
2025	—	`conf`	Exploring Forgetting in Large Language Model Pre-Training. ACL (1) Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang
2025	J	`jnl`	MOA: Multi-Objective Alignment for Role-Playing Agents. CoRR Chonghua Liao, Ke Wang, Yuchuan Wu, Fei Huang, Yongbin Li
2025	J	`jnl`	Thought-Augmented Policy Optimization: Bridging External Guidance and Internal Capabilities. CoRR Jinyang Wu, Chonghua Liao, Mingkuan Feng, Shuai Zhang, Zhengqi Wen, Pengpeng Shao, Huazhe Xu, Jianhua Tao
2024	J	`jnl`	Exploring Forgetting in Large Language Model Pre-Training. CoRR Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang
2023	A*	`conf`	Compositional Task Representations for Large Language Models. ICLR Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang
2023	J	`jnl`	Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models. CoRR Chenzhuang Du, Yue Zhao, Chonghua Liao, Jiacheng You, Jie Fu, Hang Zhao
2022	—	`conf`	FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. ACL (1) Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang
2022	C	`conf`	Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. ACML Chonghua Liao, Jiafan He, Quanquan Gu
2022	J	`jnl`	Zero-Label Prompt Selection. CoRR Chonghua Liao, Yanan Zheng, Zhilin Yang
2021	J	`jnl`	Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes. CoRR Chonghua Liao, Jiafan He, Quanquan Gu