Chonghua Liao

According to our database, Chonghua Liao authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

MemPO: Self-Memory Policy Optimization for Long-Horizon Agents.

Ruoran Li, Xinghua Zhang, Haiyang Yu, Shitong Duan, Xiang Li, Wenxin Xiang, Chonghua Liao, Xudong Guo, Yongbin Li, Jinli Suo

CoRR, March, 2026

SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization.

Jinyang Wu, Changpeng Yang, Yuhao Shen, Fangzhi Xu, Bolin Ni, Chonghua Liao, Yuchen Liu, Hongzhen Wang, Shuai Nie, Shuai Zhang, Haoran Luo, Jiaming Xu

CoRR, January, 2026

2025

MOA: Multi-Objective Alignment for Role-Playing Agents.

Chonghua Liao, Ke Wang, Yuchuan Wu, Fei Huang, Yongbin Li

CoRR, December, 2025

Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints.

Zilin Kang, Chonghua Liao, Tingqiang Xu, Huazhe Xu

CoRR, October, 2025

Thought-Augmented Policy Optimization: Bridging External Guidance and Internal Capabilities.

Jinyang Wu, Chonghua Liao, Mingkuan Feng, Shuai Zhang, Zhengqi Wen, Pengpeng Shao, Huazhe Xu, Jianhua Tao

CoRR, May, 2025

Exploring Forgetting in Large Language Model Pre-Training.

Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang

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

2023

Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models.

Chenzhuang Du, Yue Zhao, Chonghua Liao, Jiacheng You, Jie Fu, Hang Zhao

CoRR, 2023

Compositional Task Representations for Large Language Models.

Nan Shao, Zefan Cai, Hanwei Xu, Chonghua Liao, Yanan Zheng, Zhilin Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Zero-Label Prompt Selection.

Chonghua Liao, Yanan Zheng, Zhilin Yang

CoRR, 2022

Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes.

Chonghua Liao, Jiafan He, Quanquan Gu

Proceedings of the Asian Conference on Machine Learning, 2022

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.

Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Li Jian, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, Zhilin Yang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022