Hengran Zhang

According to our database, Hengran Zhang authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

Beyond Relevance: Utility-Centric Retrieval in the LLM Era.

Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo

CoRR, April, 2026

AuthorityBench: Benchmarking LLM Authority Perception for Reliable Retrieval-Augmented Generation.

Zhihui Yao, Hengran Zhang, Keping Bi

CoRR, March, 2026

Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality.

Jiahan Chen, Da Li, Hengran Zhang, Yinqiong Cai, Lixin Su, Jiafeng Guo, Daiting Shi, Dawei Yin, Keping Bi

CoRR, March, 2026

Training Dense Retrievers with Multiple Positive Passages.

Benben Wang, Minghao Tang, Hengran Zhang, Jiafeng Guo, Keping Bi

CoRR, February, 2026

Bagging-Based Model Merging for Robust General Text Embeddings.

Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Wenbo Yang, Daiting Shi, Xueqi Cheng

CoRR, February, 2026

2025

LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation.

Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng

CoRR, October, 2025

Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG.

Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng

CoRR, April, 2025

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling.

Hengran Zhang, Keping Bi, Jiafeng Guo, Xiaojie Sun, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng

CoRR, April, 2025

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation.

Hengran Zhang, Keping Bi, Jiafeng Guo, Jiaming Zhang, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation.

Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

A Comparative Study of Specialized LLMs as Dense Retrievers.

Hengran Zhang, Keping Bi, Jiafeng Guo

Proceedings of the Information Retrieval - 31st China Conference, 2025

2024

Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy.

Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR, 2024

Are Large Language Models Good at Utility Judgments?

Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

GCRE-GPT: A Generative Model for Comparative Relation Extraction.

Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng

CoRR, 2023

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification.

Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts.

Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022