Jinghan Zhang

According to our database, Jinghan Zhang authored at least 26 papers between 2024 and 2026.

Collaborative distances:

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

2026

StaRPO: Stability-Augmented Reinforcement Policy Optimization.

Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Ruimin Dai, Xiaoyan Han, Yanjie Fu, Dakuo Wang, Kunpeng Liu

CoRR, April, 2026

Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation.

Hongyu Cao, Jinghan Zhang, Kunpeng Liu, Dongjie Wang, Feng Xia, Haifeng Chen, Xiaohua Hu, Yanjie Fu

CoRR, March, 2026

Towards Dynamic Dense Retrieval with Routing Strategy.

Zhan Su, Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Bingbing Wen, Jian-Yun Nie

CoRR, February, 2026

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG.

Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai, Jian-Yun Nie

CoRR, January, 2026

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG.

Fengran Mo, Zhan Su, Yuchen Hui, Jinghan Zhang, Jia Ao Sun, Zheyuan Liu, Chao Zhang, Tetsuya Sakai, Jian-Yun Nie

Proceedings of the ACM Web Conference 2026, 2026

Blind Spot Navigation in Large Language Model Reasoning with Thought Space Explorer.

Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Xinyue Ye, Dongjie Wang, Yanjie Fu, Kunpeng Liu

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval.

Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Data-Efficient Symbolic Regression via Foundation Model Distillation.

Wangyang Ying, Jinghan Zhang, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Kunpeng Liu, Chandan K. Reddy, Yanjie Fu

CoRR, August, 2025

Tensorized Clustered LoRA Merging for Multi-Task Interference.

Zhan Su, Fengran Mo, Guojun Liang, Jinghan Zhang, Bingbing Wen, Prayag Tiwari, Jian-Yun Nie

CoRR, August, 2025

Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents.

Chongyu Bao, Ruimin Dai, Yangbo Shen, Runyang Jian, Jinghan Zhang, Xiaolan Liu, Kunpeng Liu

CoRR, August, 2025

LEKA:LLM-Enhanced Knowledge Augmentation.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu

CoRR, January, 2025

Distilling Empathy from Large Language Models.

Henry J. Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu

Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2025

Dynamic and Adaptive Feature Generation with LLM.

Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

LEKA: LLM-Enhanced Knowledge Augmentation.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dongjie Wang, Yanjie Fu, Kunpeng Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Retrieval-Augmented Feature Generation for Domain-Specific Classification.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Dakshak Keerthi Chandra, Yu-Zhong Chen, Fei Xie, Kunpeng Liu

Proceedings of the IEEE International Conference on Data Mining, 2025

Understanding the Constraints of RAG-Based Medical LVLMs - A Case Study in Ophthalmic Report Generation.

Xiaoyan Han, Jin Ma, Jinghan Zhang, Kunpeng Liu, Feng Luo

Proceedings of the IEEE International Conference on Data Mining, 2025

Diversity-oriented Data Augmentation with Large Language Models.

Zaitian Wang, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu, Pengfei Wang, Yuanchun Zhou

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

Entropy-based Exploration Conduction for Multi-step Reasoning.

Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

RATT: A Thought Structure for Coherent and Correct LLM Reasoning.

Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning.

Jinghan Zhang, Fengran Mo, Xiting Wang, Kunpeng Liu

CoRR, 2024

Retrieval-Augmented Feature Generation for Domain-Specific Classification.

Xinhao Zhang, Jinghan Zhang, Fengran Mo, Yuzhong Chen, Kunpeng Liu

CoRR, 2024

Enhancing Risk Assessment in Transformers with Loss-at-Risk Functions.

Jinghan Zhang, Henry Xie, Xinhao Zhang, Kunpeng Liu

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Dynamic Weight Adjusting Deep Q-Networks for Real-Time Environmental Adaptation.

Xinhao Zhang, Jinghan Zhang, Wujun Si, Kunpeng Liu

Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model Reasoning.

Jinghan Zhang, Kunpeng Liu

Proceedings of the IEEE International Conference on Big Data, 2024

Scoring with Large Language Models: A Study on Measuring Empathy of Responses in Dialogues.

Henry J. Xie, Jinghan Zhang, Xinhao Zhang, Kunpeng Liu

Proceedings of the IEEE International Conference on Big Data, 2024

Prototypical Reward Network for Data-Efficient RLHF.

Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024