| Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... arXiv preprint arXiv:2110.08207, 2021 | 1685 | 2021 |
| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1615 | 2023 |
| 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, ... arXiv preprint arXiv:2206.04615, 2022 | 1165 | 2022 |
| Aligning language models with preferences through f-divergence minimization D Go, T Korbak, G Kruszewski, J Rozen, N Ryu, M Dymetman arXiv preprint arXiv:2302.08215, 2023 | 61 | 2023 |
| Self-supervised and controlled multi-document opinion summarization H Elsahar, M Coavoux, M Gallé, J Rozen arXiv preprint arXiv:2004.14754, 2020 | 54 | 2020 |
| Unsupervised and distributional detection of machine-generated text M Gallé, J Rozen, G Kruszewski, H Elsahar arXiv preprint arXiv:2111.02878, 2021 | 26 | 2021 |
| Multitask prompted training enables zero-shot task generalization. arXiv V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... arXiv preprint arXiv:2110.08207, 2021 | 17 | 2021 |
| Compositional preference models for aligning LMs D Go, T Korbak, G Kruszewski, J Rozen, M Dymetman arXiv preprint arXiv:2310.13011, 2023 | 10 | 2023 |
| Should you marginalize over possible tokenizations? N Chirkova, G Kruszewski, J Rozen, M Dymetman arXiv preprint arXiv:2306.17757, 2023 | 7 | 2023 |
| Aligning Foundation Models for Language with Preferences through -divergence Minimization D Go, T Korbak, G Kruszewski, J Rozen, N Ryu, M Dymetman ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation …, 2023 | 2 | 2023 |
| Insights of human-transportation system interactions inferred from public transit operational data F Roulland, J Rozen, JC Handley Transportation Research Procedia 32, 24-33, 2018 | 2 | 2018 |
| ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models T Thonet, J Rozen, L Besacier arXiv preprint arXiv:2403.20262, 2024 | 1 | 2024 |
| Guaranteed Generation from Large Language Models M Kim, T Thonet, J Rozen, H Lee, K Jung, M Dymetman arXiv preprint arXiv:2410.06716, 2024 | | 2024 |
| Method for applying in-context learning for self-healing of language models J Rozen, H Elsahar US Patent App. 17/970,792, 2023 | | 2023 |
| disco: a toolkit for Distributional Control of Generative Models G Kruszewski, J Rozen, M Dymetman arXiv preprint arXiv:2303.05431, 2023 | | 2023 |
| List of abbreviations and acronyms M Gallé, JMR Eurecat, H Elsahar, J Rozen, WP Leader | | 2019 |
| Compositional preference models for alignment with scalable oversight D Go, T Korbak, G Kruszewski, J Rozen, M Dymetman Socially Responsible Language Modelling Research, 0 | | |
