Dehai Min

According to our database, Dehai Min authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Latent Thoughts Tuning: Bridging Context and Reasoning with Fused Information in Latent Tokens.

Weihao Liu, Dehai Min, Lu Cheng

CoRR, February, 2026

EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning.

Mingyang Wei, Dehai Min, Zewen Liu, Yuzhang Xie, Guanchen Wu, Carl Yang, Max S. Y. Lau, Qi He, Lu Cheng, Wei Jin

CoRR, January, 2026

2025

QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation.

Dehai Min, Kailin Zhang, Tongtong Wu, Lu Cheng

CoRR, December, 2025

MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs.

Huiyi Chen, Jiawei Peng, Dehai Min, Changchang Sun, Kaijie Chen, Yan Yan, Xu Yang, Lu Cheng

CoRR, November, 2025

Pandora: Leveraging Code-driven Knowledge Transfer for Unified Structured Knowledge Reasoning.

Yongrui Chen, Junhao He, Linbo Fu, Shenyu Zhang, Rihui Jin, Xinbang Dai, Jiaqi Li, Dehai Min, Nan Hu, Yuxin Zhang, Guilin Qi, Yi Huang, Tongtong Wu

CoRR, August, 2025

UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers.

Dehai Min, Zhiyang Xu, Guilin Qi, Lifu Huang, Chenyu You

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.

Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi

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

2024

HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.

Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min

CoRR, 2024

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data.

Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

MATEval: A Multi-agent Discussion Framework for Advancing Open-Ended Text Evaluation.

Yu Li, Shenyu Zhang, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi, Dehai Min

Proceedings of the Database Systems for Advanced Applications, 2024

2023

An empirical study of pre-trained language models in simple knowledge graph question answering.

Nan Hu, Yike Wu, Guilin Qi, Dehai Min, Jiaoyan Chen, Jeff Z. Pan, Zafar Ali

World Wide Web (WWW), September, 2023

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions.

Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, Guilin Qi

CoRR, 2023

Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family.

Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, Guilin Qi

Proceedings of the Semantic Web - ISWC 2023, 2023

Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction.

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Dehai Min, Yongrui Chen, Guilin Qi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023