Jing-Cheng Pang

26 papers A* 6A 2Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning. CoRR Jing-Cheng Pang, Liu Sun, Chang Zhou, Xian Tang, Haichuan Ma, Kun Jiang, Jianlong Wang, Kai Zhang, Sijie Wu, Haoran Cai, Chenwei Wu, Xubin Li, Xin Chen
2026	J	`jnl`	LFS: Learnable Frame Selector for Event-Aware and Temporally Diverse Video Captioning. CoRR Lianying Chao, Linfeng Yin, Peiyu Ren, Yifan Jiang, Qiaoyu Ren, Dingcheng Shan, Jing-Cheng Pang, Sijie Wu, Xubin Li, Kai Zhang
2026	J	`jnl`	RLVR Training of LLMs Does Not Improve Thinking Ability for General QA: Evaluation Method and a Simple Solution. CoRR Kaiyuan Li, Jing-Cheng Pang, Yang Yu
2026	J	`jnl`	Reinforcement Learning with Promising Tokens for Large Language Models. CoRR Jing-Cheng Pang, Liang Lu, Xian Tang, Kun Jiang, Sijie Wu, Kai Zhang, Xubin Li
2026	J	`jnl`	VLGOR: Visual-Language Knowledge Guided Offline Reinforcement Learning for Generalizable Agents. CoRR Pengsen Liu, Maosen Zeng, Nan Tang, Kaiyuan Li, Jing-Cheng Pang, Yunan Liu, Yang Yu
2025	J	`jnl`	ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts. CoRR Jing-Cheng Pang, Kaiyuan Li, Yidi Wang, Si-Hang Yang, Shengyi Jiang, Yang Yu
2025	A	`conf`	InCLET: Large Language Model In-context Learning can Improve Embodied Instruction-following. AAMAS Peng-Yuan Wang, Jing-Cheng Pang, Chenyang Wang, Xu-Hui Liu, Tian-Shuo Liu, Si-Hang Yang, Hong Qian, Yang Yu
2025	J	`jnl`	Interactive Large Language Models for Reliable Answering under Incomplete Context. Trans. Mach. Learn. Res. Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Ming-Kun Xie, Xiang Chen, Sheng-Jun Huang, Yang Yu
2025	A*	`conf`	Learning View-invariant World Models for Visual Robotic Manipulation. ICLR Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai, Zhen-Yu Zhang, Gang Niu, Masashi Sugiyama, Yang Yu
2025	J	`jnl`	ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation. CoRR Nan Tang, Jing-Cheng Pang, Guanlin Li, Chao Qian, Yang Yu
2025	J	`jnl`	Reinforcement Learning With Sparse-Executing Action via Sparsity Regularization. IEEE Trans. Neural Networks Learn. Syst. Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu
2024	J	`jnl`	Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning. CoRR Yuting Tang, Xin-Qiang Cai, Jing-Cheng Pang, Qiyu Wu, Yao-Xiang Ding, Masashi Sugiyama
2024	J	`jnl`	Empowering Language Models with Active Inquiry for Deeper Understanding. CoRR Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu
2024	A*	`conf`	KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. NeurIPS Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
2024	J	`jnl`	Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts. CoRR Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Jiaji Zhang, Xiong-Hui Chen, Nan Tang, Yang Yu
2024	A*	`conf`	Language Model Self-improvement by Reinforcement Learning Contemplation. ICLR Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Model gradient: unified model and policy learning in model-based reinforcement learning. Frontiers Comput. Sci. Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu
2023	J	`jnl`	Language Model Self-improvement by Reinforcement Learning Contemplation. CoRR Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Natural Language Instruction-following with Task-related Language Development and Translation. NeurIPS Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Xiong-Hui Chen, Yang Yu
2023	J	`jnl`	Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation. CoRR Jing-Cheng Pang, Xinyu Yang, Si-Hang Yang, Yang Yu
2023	A	`conf`	Object-Oriented Option Framework for Robotics Manipulation in Clutter. IROS Jing-Cheng Pang, Si-Hang Yang, Xiong-Hui Chen, Xinyu Yang, Yang Yu, Mas Ma, Ziqi Guo, Howard Yang, Bill Huang
2021	A*	`conf`	Regret Minimization Experience Replay in Off-Policy Reinforcement Learning. NeurIPS Xu-Hui Liu, Zhenghai Xue, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
2021	J	`jnl`	Regret Minimization Experience Replay. CoRR Zhenghai Xue, Xu-Hui Liu, Jing-Cheng Pang, Shengyi Jiang, Feng Xu, Yang Yu
2021	J	`jnl`	Sparsity Prior Regularized Q-learning for Sparse Action Tasks. CoRR Jing-Cheng Pang, Tian Xu, Shengyi Jiang, Yu-Ren Liu, Yang Yu
2020	A*	`conf`	Offline Imitation Learning with a Misspecified Simulator. NeurIPS Shengyi Jiang, Jing-Cheng Pang, Yang Yu
2019	J	`jnl`	Improving Fictitious Play Reinforcement Learning with Expanding Models. CoRR Rong-Jun Qin, Jing-Cheng Pang, Yang Yu