Encoding history with context-aware representation learning for personalized search Y Zhou, Z Dou, JR Wen Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 52 | 2020 |
Unsupervised real-time hallucination detection based on the internal states of large language models W Su, C Wang, Q Ai, Y Hu, Z Wu, Y Zhou, Y Liu arXiv preprint arXiv:2403.06448, 2024 | 50 | 2024 |
Ultron: An ultimate retriever on corpus with a model-based indexer Y Zhou, J Yao, Z Dou, L Wu, P Zhang, JR Wen arXiv preprint arXiv:2208.09257, 2022 | 49 | 2022 |
PSSL: self-supervised learning for personalized search with contrastive sampling Y Zhou, Z Dou, Y Zhu, JR Wen Proceedings of the 30th ACM international conference on information …, 2021 | 43 | 2021 |
From matching to generation: A survey on generative information retrieval X Li, J Jin, Y Zhou, Y Zhang, P Zhang, Y Zhu, Z Dou arXiv preprint arXiv:2404.14851, 2024 | 37 | 2024 |
Enhancing re-finding behavior with external memories for personalized search Y Zhou, Z Dou, JR Wen Proceedings of the 13th international conference on web search and data …, 2020 | 34 | 2020 |
Group based personalized search by integrating search behaviour and friend network Y Zhou, Z Dou, B Wei, R Xie, JR Wen Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 31 | 2021 |
Novo: Learnable and interpretable document identifiers for model-based ir Z Wang, Y Zhou, Y Tu, Z Dou Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 27 | 2023 |
DynamicRetriever: A pre-training model-based IR system with neither sparse nor dense index Y Zhou, J Yao, Z Dou, L Wu, JR Wen arXiv preprint arXiv:2203.00537, 2022 | 27 | 2022 |
Unigen: A unified generative framework for retrieval and question answering with large language models X Li, Y Zhou, Z Dou Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8688-8696, 2024 | 23 | 2024 |
Information retrieval meets large language models Z Liu, Y Zhou, Y Zhu, J Lian, C Li, Z Dou, D Lian, JY Nie Companion Proceedings of the ACM Web Conference 2024, 1586-1589, 2024 | 21 | 2024 |
Cognitive personalized search integrating large language models with an efficient memory mechanism Y Zhou, Q Zhu, J Jin, Z Dou Proceedings of the ACM Web Conference 2024, 1464-1473, 2024 | 19 | 2024 |
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback Y Zhou, Z Dou, JR Wen | 19 | 2023 |
Trustworthiness in retrieval-augmented generation systems: A survey Y Zhou, Y Liu, X Li, J Jin, H Qian, Z Liu, C Li, Z Dou, TY Ho, PS Yu arXiv preprint arXiv:2409.10102, 2024 | 18 | 2024 |
Metacognitive retrieval-augmented large language models Y Zhou, Z Liu, J Jin, JY Nie, Z Dou Proceedings of the ACM Web Conference 2024, 1453-1463, 2024 | 18 | 2024 |
Dynamicretriever: A pre-trained model-based ir system without an explicit index YJ Zhou, J Yao, ZC Dou, L Wu, JR Wen Machine Intelligence Research 20 (2), 276-288, 2023 | 17 | 2023 |
Term-sets can be strong document identifiers for auto-regressive search engines P Zhang, Z Liu, Y Zhou, Z Dou, Z Cao arXiv preprint arXiv:2305.13859, 2023 | 17 | 2023 |
Bider: Bridging knowledge inconsistency for efficient retrieval-augmented llms via key supporting evidence J Jin, Y Zhu, Y Zhou, Z Dou arXiv preprint arXiv:2402.12174, 2024 | 16 | 2024 |
Grounding language model with chunking-free in-context retrieval H Qian, Z Liu, K Mao, Y Zhou, Z Dou arXiv preprint arXiv:2402.09760, 2024 | 13 | 2024 |
Corpuslm: Towards a unified language model on corpus for knowledge-intensive tasks X Li, Z Dou, Y Zhou, F Liu Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 12 | 2024 |