| Transformer memory as a differentiable search index Y Tay, V Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... Advances in Neural Information Processing Systems 35, 21831-21843, 2022 | 203 | 2022 |
| Pacrr: A position-aware neural ir model for relevance matching K Hui, A Yates, K Berberich, G de Melo Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 201 | 2017 |
| Ext5: Towards extreme multi-task scaling for transfer learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... arXiv preprint arXiv:2111.10952, 2021 | 198 | 2021 |
| Large language models are effective text rankers with pairwise ranking prompting Z Qin, R Jagerman, K Hui, H Zhuang, J Wu, L Yan, J Shen, T Liu, J Liu, ... arXiv preprint arXiv:2306.17563, 2023 | 142 | 2023 |
| Co-PACRR: A context-aware neural IR model for ad-hoc retrieval K Hui, A Yates, K Berberich, G De Melo Proceedings of the eleventh ACM international conference on web search and …, 2018 | 139 | 2018 |
| BERT-QE: contextualized query expansion for document re-ranking Z Zheng, K Hui, B He, X Han, L Sun, A Yates arXiv preprint arXiv:2009.07258, 2020 | 121* | 2020 |
| TDNN: a two-stage deep neural network for prompt-independent automated essay scoring C Jin, B He, K Hui, L Sun Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 120 | 2018 |
| Attributed question answering: Evaluation and modeling for attributed large language models B Bohnet, VQ Tran, P Verga, R Aharoni, D Andor, LB Soares, M Ciaramita, ... arXiv preprint arXiv:2212.08037, 2022 | 91 | 2022 |
| Rankt5: Fine-tuning t5 for text ranking with ranking losses H Zhuang, Z Qin, R Jagerman, K Hui, J Ma, J Lu, J Ni, X Wang, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 82 | 2023 |
| NPRF: A neural pseudo relevance feedback framework for ad-hoc information retrieval C Li, Y Sun, B He, L Wang, K Hui, A Yates, L Sun, J Xu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 73 | 2018 |
| How does generative retrieval scale to millions of passages? R Pradeep, K Hui, J Gupta, AD Lelkes, H Zhuang, J Lin, D Metzler, ... arXiv preprint arXiv:2305.11841, 2023 | 49 | 2023 |
| Content-Based Weak Supervision for Ad-Hoc Re-Ranking S MacAvaney, A Yates, K Hui, O Frieder Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 45 | 2019 |
| Beyond yes and no: Improving zero-shot llm rankers via scoring fine-grained relevance labels H Zhuang, Z Qin, K Hui, J Wu, L Yan, X Wang, M Berdersky arXiv preprint arXiv:2310.14122, 2023 | 40 | 2023 |
| Simplified tinybert: Knowledge distillation for document retrieval X Chen, B He, K Hui, L Sun, Y Sun Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 32 | 2021 |
| Gecko: Versatile text embeddings distilled from large language models J Lee, Z Dai, X Ren, B Chen, D Cer, JR Cole, K Hui, M Boratko, ... arXiv preprint arXiv:2403.20327, 2024 | 25 | 2024 |
| Incorporating ranking context for end-to-end BERT re-ranking X Chen, K Hui, B He, X Han, L Sun, Z Ye European Conference on Information Retrieval, 111-127, 2022 | 21* | 2022 |
| An approach for weakly-supervised deep information retrieval S MacAvaney, K Hui, A Yates The Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17), 2017 | 20 | 2017 |
| ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference K Hui, H Zhuang, T Chen, Z Qin, J Lu, D Bahri, J Ma, J Gupta, ... ACL 2022: Findings, 2022 | 15 | 2022 |
| Characterizing question facets for complex answer retrieval S MacAvaney, A Yates, A Cohan, L Soldaini, K Hui, N Goharian, O Frieder The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 15 | 2018 |
| Transitivity, time consumption, and quality of preference judgments in crowdsourcing K Hui, K Berberich Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 15 | 2017 |
Andrew YatesUniversity of AmsterdamVerified email at uva.nl
