Author

Dawei Yin

Observed name: Yin, Dawei

Observed institutions: Shandong University, Institute of Computing Technology, University of Chinese Academy of Sciences, Baidu (China), Tsinghua University

OpenAlex ID: A5100594590

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

2023 · Weiwei Sun, Lingyong Yan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 281

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Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

2025 · Shijie Wang, Wenqi Fan, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 62

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ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval

2022 · Lu, Yuxiang, Liu, Yiding, et al. · arXiv (Cornell University) · 18

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A Robust Semantics-based Watermark for Large Language Model against Paraphrasing

2024 · Jie Ren, Han Xu, et al. · Findings of the Association for Computational Linguistics: NAACL · 16

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Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking

2022 · Qian Dong, Yiding Liu, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 16

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Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

2023 · Juanhui Li, Harry Shomer, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 12

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Feature-Level Debiased Natural Language Understanding

2023 · Yougang Lyu, Piji Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 11

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Towards Verifiable Text Generation with Evolving Memory and Self-Reflection

2024 · Hao Sun, Hengyi Cai, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 8

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KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

2024 · Yougang Lyu, Lingyong Yan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5

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Approximated Doubly Robust Search Relevance Estimation

2022 · Lixin Zou, Changying Hao, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 4

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PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization

2025 · Jiayi Wu, Hengyi Cai, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 3

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Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking

2025 · Junda Zhu, Lingyong Yan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3

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On Length Divergence Bias in Textual Matching Models

2022 · Lan Jiang, Tianshu Lyu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 3

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Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation

2025 · Dongsheng Zhu, Weixian Shi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2

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Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers

2025 · Zhengliang Shi, Lingyong Yan, et al. · neural information processing systems · 2

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VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

2024 · Dongsheng Zhu, Daniel Tang, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 2

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MAIR: A Massive Benchmark for Evaluating Instructed Retrieval

2024 · Weiwei Sun, Zhengliang Shi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

2022 · Li, Juanhui, Shomer, Harry, et al. · arXiv (Cornell University) · 2

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Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

2025 · Wang, Shijie, Fan, Wenqi, et al. · arXiv (Cornell University) · 1

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KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

2024 · Lyu, Yougang, Yan, Lingyong, et al. · arXiv (Cornell University) · 1

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