| 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, ... TMLR 2023, 2022 | 2263 | 2022 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| A deep learning mammography-based model for improved breast cancer risk prediction A Yala, C Lehman, T Schuster, T Portnoi, R Barzilay Radiology 292 (1), 60-66, 2019 | 888 | 2019 |
| Ul2: Unifying language learning paradigms Y Tay, M Dehghani, VQ Tran, X Garcia, J Wei, X Wang, HW Chung, ... ICLR 2023, 2022 | 461 | 2022 |
| Transformer memory as a differentiable search index Y Tay, VQ Tran, M Dehghani, J Ni, D Bahri, H Mehta, Z Qin, K Hui, Z Zhao, ... NeurIPS 2022, 2022 | 416 | 2022 |
| Mammographic breast density assessment using deep learning: clinical implementation CD Lehman, A Yala, T Schuster, B Dontchos, M Bahl, K Swanson, ... Radiology 290 (1), 52-58, 2019 | 346 | 2019 |
| Confident Adaptive Language Modeling T Schuster, A Fisch, J Gupta, M Dehghani, D Bahri, VQ Tran, Y Tay, ... Neurips 2022, 2022 | 340 | 2022 |
| Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence T Schuster, A Fisch, R Barzilay NAACL 2021, 2021 | 293 | 2021 |
| Towards debiasing fact verification models T Schuster, DJ Shah, YJS Yeo, D Filizzola, E Santus, R Barzilay EMNLP 2019, 2019 | 265 | 2019 |
| Conformal risk control AN Angelopoulos, S Bates, A Fisch, L Lei, T Schuster ICLR 2024, 2022 | 261 | 2022 |
| Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing T Schuster, O Ram, R Barzilay, A Globerson NAACL 2019, 2019 | 251 | 2019 |
| A deep learning model to triage screening mammograms: a simulation study A Yala, T Schuster, R Miles, R Barzilay, C Lehman Radiology 293 (1), 38-46, 2019 | 240 | 2019 |
| ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning V Aribandi, Y Tay, T Schuster, J Rao, HS Zheng, SV Mehta, H Zhuang, ... ICLR 2022, 2021 | 234 | 2021 |
| The limitations of stylometry for detecting machine-generated fake news T Schuster, R Schuster, DJ Shah, R Barzilay Computational Linguistics 46 (2), 499-510, 2020 | 184 | 2020 |
| 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 | 162 | 2022 |
| Unifying language learning paradigms Y Tay, M Dehghani, VQ Tran, X Garcia, D Bahri, T Schuster, HS Zheng, ... arXiv preprint arXiv:2205.05131 10, 2022 | 156 | 2022 |
| Conformal Language Modeling V Quach, A Fisch, T Schuster, A Yala, JH Sohn, TS Jaakkola, R Barzilay ICLR 2024, 2023 | 139 | 2023 |
| Tomayto, tomahto. beyond token-level answer equivalence for question answering evaluation J Bulian, C Buck, W Gajewski, B Boerschinger, T Schuster EMNLP 2022, 2022 | 112 | 2022 |
| Consistent Accelerated Inference via Confident Adaptive Transformers T Schuster, A Fisch, T Jaakkola, R Barzilay EMNLP 2021, 2021 | 90 | 2021 |
| Few-shot Conformal Prediction with Auxiliary Tasks A Fisch, T Schuster, T Jaakkola, R Barzilay ICML 2021, 2021 | 68 | 2021 |
Regina BarzilayProfessor of EECS, MITVerified email at csail.mit.edu
