Jinghan Zhang

According to our database, Jinghan Zhang authored at least 15 papers between 2024 and 2025.

Collaborative distances:

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

2025

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

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

Distilling Empathy from Large Language Models.

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

CoRR, July, 2025

LEKA:LLM-Enhanced Knowledge Augmentation.

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

CoRR, January, 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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

Dynamic and Adaptive Feature Generation with LLM.

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