| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024 | 3424 | 2024 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2556 | 2023 |
| End-to-end neural ad-hoc ranking with kernel pooling C Xiong, Z Dai, J Callan, Z Liu, R Power Proceedings of the 40th International ACM SIGIR conference on research and …, 2017 | 662 | 2017 |
| Deeper text understanding for IR with contextual neural language modeling Z Dai, J Callan Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 495 | 2019 |
| Convolutional neural networks for soft-matching n-grams in ad-hoc search Z Dai, C Xiong, J Callan, Z Liu Proceedings of the eleventh ACM international conference on web search and …, 2018 | 405 | 2018 |
| Large Dual Encoders Are Generalizable Retrievers J Ni, C Qu, J Lu, Z Dai, GH Ábrego, J Ma, VY Zhao, Y Luan, KB Hall, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 379 | 2022 |
| Rarr: Researching and revising what language models say, using language models L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, V Zhao, N Lao, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 269 | 2023 |
| COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List L Gao, Z Dai, J Callan the 2021 Conference of the North American Chapter of the Association for …, 2021 | 240 | 2021 |
| Promptagator: Few-shot Dense Retrieval From 8 Examples Zhuyun Dai, Vincent Y Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton ... 2023 International Conference on Learning Representations, 2023 | 216* | 2023 |
| Context-aware sentence/passage term importance estimation for first stage retrieval Z Dai, J Callan arXiv preprint arXiv:1910.10687, 2019 | 191 | 2019 |
| Complement Lexical Retrieval Model with Semantic Residual Embeddings L Gao, Z Dai, T Chen, Z Fan, B Van Durme, J Callan Advances in Information Retrieval - 43rd European Conference on IR Research …, 2021 | 180 | 2021 |
| Context-aware term weighting for first stage passage retrieval Z Dai, J Callan Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 153 | 2020 |
| Rethink Training of BERT Rerankers in Multi-stage Retrieval Pipeline L Gao, Z Dai, J Callan Advances in Information Retrieval - 43rd European Conference on IR Research …, 2021 | 135 | 2021 |
| Context-aware document term weighting for ad-hoc search Z Dai, J Callan Proceedings of The Web Conference 2020, 1897-1907, 2020 | 117 | 2020 |
| 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 | 64 | 2024 |
| Modularized transfomer-based ranking framework L Gao, Z Dai, J Callan Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 62* | 2020 |
| Dialog inpainting: Turning documents into dialogs Z Dai, AT Chaganty, VY Zhao, A Amini, QM Rashid, M Green, K Guu International conference on machine learning, 4558-4586, 2022 | 61 | 2022 |
| Scaling instruction-finetuned language models (2022) HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... arXiv preprint arXiv:2210.11416 3, 2022 | 61 | 2022 |
| Rethinking query expansion for BERT reranking R Padaki, Z Dai, J Callan Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 58 | 2020 |
| Understanding BERT rankers under distillation L Gao, Z Dai, J Callan Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020 | 52 | 2020 |
Jamie CallanProfessor, Language Technologies Institute, Carnegie Mellon UniversityGeverifieerd e-mailadres voor cs.cmu.edu