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Hengran Zhang

Are Large Language Models Good at Utility Judgments?
2024 · Hengran Zhang, Ruqing Zhang, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 22
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
2023 · Hengran Zhang, Ruqing Zhang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 9
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Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
2025 · Hengran Zhang, Minghao Tang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts
2022 · Yequan Wang, Hengran Zhang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 4
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Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
2025 · Hengran Zhang, Keping Bi, et al. · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP) · 3
Beyond Relevance: Utility-Centric Retrieval in the LLM Era
2026 · Hengran Zhang, Minghao Tang, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1
AuthorityBench: Benchmarking LLM Authority Perception for Reliable Retrieval-Augmented Generation
2026 · Yao, Zhihui, Zhang, Hengran, et al. · arXiv (Cornell University) · 1
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Pressure calibration free HCl detection in QEPAS based on multi-feature fusion of second-harmonic signals
2026 · Yixin Zhang, Hongpeng Wu, et al. · Sensors and Actuators B Chemical
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
2026 · DeepSeek-AI, :, et al. · arXiv (Cornell University)
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Training Dense Retrievers with Multiple Positive Passages
2026 · Benben Wang, Minghao Tang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning
2026 · Jiahan Chen, Da Li, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Report on the 1st Workshop on Beyond Relevance-Based EValuation of RAG Systems (BREV-RAG 2025) at SIGIR-AP 2025
2026 · Tetsuya Sakai, Hanpei Fang, et al. · ACM SIGIR Forum
MSMARCO-annotation
2026 · Benben Wang, Minghao Tang, et al. · Hugging Face
Beyond Relevance: Utility-Centric Retrieval in the LLM Era
2026 · Zhang, Hengran, Tang, Minghao, et al. · arXiv (Cornell University)
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Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning
2026 · Chen, Jiahan, Li, Da, et al. · arXiv (Cornell University)
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Training Dense Retrievers with Multiple Positive Passages
2026 · Wang, Benben, Tang, Minghao, et al. · arXiv (Cornell University)
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Bagging-Based Model Merging for Robust General Text Embeddings
2026 · Zhang, Hengran, Bi, Keping, et al. · arXiv (Cornell University)
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An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs
2026 · Hengran Zhang, Keping Bi, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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A Comparative Study of Specialized LLMs as Dense Retrievers
2026 · Hengran Zhang, Keping Bi, et al. · Lecture notes in computer science
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Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
2025 · Zhang, Hengran, Bi, Keping, et al. · arXiv (Cornell University)
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GCRE-GPT: A Generative Model for Comparative Relation Extraction
2023 · Wang, Yequan, Zhang, Hengran, et al. · arXiv (Cornell University)
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Works count: 23
Citation count: 45
H-index: 4
I10-index: 1
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