| Reading Wikipedia to Answer Open-Domain Questions D Chen, A Fisch, J Weston, A Bordes ACL 2017, 2017 | 2636 | 2017 |
| Making Pre-trained Language Models Better Few-shot Learners T Gao, A Fisch, D Chen ACL 2021, 2020 | 2471 | 2020 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... Transactions on machine learning research, 2023 | 2207 | 2023 |
| Key-value memory networks for directly reading documents A Miller, A Fisch, J Dodge, AH Karimi, A Bordes, J Weston EMNLP 2016, 2016 | 1330 | 2016 |
| ParlAI: A Dialog Research Software Platform AH Miller, W Feng, A Fisch, J Lu, D Batra, A Bordes, D Parikh, J Weston EMNLP 2017, 2017 | 483 | 2017 |
| StarSpace: Embed All The Things! L Wu, A Fisch, S Chopra, K Adams, A Bordes, J Weston AAAI 2018, 2017 | 346 | 2017 |
| MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension A Fisch, A Talmor, R Jia, M Seo, E Choi, D Chen 2nd Workshop on Machine Reading for Question Answering, 2019 | 343 | 2019 |
| Confident adaptive language modeling T Schuster, A Fisch, J Gupta, M Dehghani, D Bahri, V Tran, Y Tay, ... Advances in Neural Information Processing Systems 35, 17456-17472, 2022 | 340 | 2022 |
| Get your vitamin c! robust fact verification with contrastive evidence T Schuster, A Fisch, R Barzilay NAACL 2021, 2021 | 293 | 2021 |
| Conformal risk control AN Angelopoulos, S Bates, A Fisch, L Lei, T Schuster arXiv preprint arXiv:2208.02814, 2022 | 261 | 2022 |
| Rewarding progress: Scaling automated process verifiers for llm reasoning A Setlur, C Nagpal, A Fisch, X Geng, J Eisenstein, R Agarwal, A Agarwal, ... arXiv preprint arXiv:2410.08146, 2024 | 177 | 2024 |
| Conformal language modeling V Quach, A Fisch, T Schuster, A Yala, JH Sohn, TS Jaakkola, R Barzilay arXiv preprint arXiv:2306.10193, 2023 | 139 | 2023 |
| Helping or herding? reward model ensembles mitigate but do not eliminate reward hacking J Eisenstein, C Nagpal, A Agarwal, A Beirami, A D'Amour, DJ Dvijotham, ... arXiv preprint arXiv:2312.09244, 2023 | 126 | 2023 |
| Consistent accelerated inference via confident adaptive transformers T Schuster, A Fisch, T Jaakkola, R Barzilay arXiv preprint arXiv:2104.08803, 2021 | 90 | 2021 |
| Few-shot Conformal Prediction with Auxiliary Tasks A Fisch, T Schuster, T Jaakkola, R Barzilay ICML 2021, 2021 | 68 | 2021 |
| Efficient Conformal Prediction via Cascaded Inference with Expanded Admission A Fisch, T Schuster, T Jaakkola, R Barzilay ICLR 2021, 2020 | 68 | 2020 |
| Robust preference optimization through reward model distillation A Fisch, J Eisenstein, V Zayats, A Agarwal, A Beirami, C Nagpal, P Shaw, ... arXiv preprint arXiv:2405.19316, 2024 | 61 | 2024 |
| Calibrated selective classification A Fisch, T Jaakkola, R Barzilay arXiv preprint arXiv:2208.12084, 2022 | 50 | 2022 |
| Mitigating llm hallucinations via conformal abstention YA Yadkori, I Kuzborskij, D Stutz, A György, A Fisch, A Doucet, ... arXiv preprint arXiv:2405.01563, 2024 | 48 | 2024 |
| Conformal prediction sets with limited false positives A Fisch, T Schuster, T Jaakkola, R Barzilay International Conference on Machine Learning, 6514-6532, 2022 | 44 | 2022 |
Tal SchusterGoogle DeepMindVerified email at google.com
