| FiLM: Visual Reasoning with a General Conditioning Layer E Perez, F Strub, H De Vries, V Dumoulin, A Courville AAAI 2018, 2018 | 1583* | 2018 |
| Retrieval-augmented generation for knowledge-intensive nlp tasks P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ... NeurIPS 2020, 2020 | 1116 | 2020 |
| Eli5: Long form question answering A Fan, Y Jernite*, E Perez*, D Grangier, J Weston, M Auli Association for Computational Linguistics (ACL) 2019, 2019 | 307 | 2019 |
| Constitutional ai: Harmlessness from ai feedback Y Bai, S Kadavath, S Kundu, A Askell, J Kernion, A Jones, A Chen, ... arXiv preprint arXiv:2212.08073, 2022 | 288 | 2022 |
| True Few-Shot Learning with Language Models E Perez, D Kiela, K Cho NeurIPS 2021, 2021 | 239 | 2021 |
| Supervised multimodal bitransformers for classifying images and text D Kiela, S Bhooshan, H Firooz, E Perez, D Testuggine arXiv preprint arXiv:1909.02950, 2019 | 187 | 2019 |
| Feature-wise transformations V Dumoulin, E Perez, N Schucher, F Strub, H Vries, A Courville, Y Bengio Distill 3 (7), e11, 2018 | 170* | 2018 |
| Red teaming language models with language models E Perez, S Huang, F Song, T Cai, R Ring, J Aslanides, A Glaese, ... EMNLP 2022, 2022 | 168 | 2022 |
| Unsupervised Question Decomposition for Question Answering E Perez, P Lewis, W Yih, K Cho, D Kiela EMNLP 2020, 2020 | 137 | 2020 |
| HoME: a Household Multimodal Environment S Brodeur, E Perez*, A Anand*, F Golemo*, L Celotti, F Strub, J Rouat, ... ICLR 2018 Workshop, 2017 | 130 | 2017 |
| Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned D Ganguli, L Lovitt, J Kernion, A Askell, Y Bai, S Kadavath, B Mann, ... arXiv preprint arXiv:2209.07858, 2022 | 109 | 2022 |
| Language models (mostly) know what they know S Kadavath, T Conerly, A Askell, T Henighan, D Drain, E Perez, ... arXiv preprint arXiv:2207.05221, 2022 | 81 | 2022 |
| Learning Visual Reasoning Without Strong Priors E Perez, H De Vries, F Strub, V Dumoulin, A Courville ICML 2017 Workshop, 2017 | 72 | 2017 |
| Discovering language model behaviors with model-written evaluations E Perez, S Ringer, K Lukošiūtė, K Nguyen, E Chen, S Heiner, C Pettit, ... arXiv preprint arXiv:2212.09251, 2022 | 66 | 2022 |
| Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting M Turpin, J Michael, E Perez, SR Bowman arXiv preprint arXiv:2305.04388, 2023 | 58 | 2023 |
| The capacity for moral self-correction in large language models D Ganguli, A Askell, N Schiefer, T Liao, K Lukošiūtė, A Chen, A Goldie, ... arXiv preprint arXiv:2302.07459, 2023 | 49 | 2023 |
| Pretraining language models with human preferences T Korbak, K Shi, A Chen, R Bhalerao, CL Buckley, J Phang, SR Bowman, ... ICML 2023, 2023 | 43 | 2023 |
| Case-based reasoning for natural language queries over knowledge bases R Das, M Zaheer, D Thai, A Godbole, E Perez, JY Lee, L Tan, ... EMNLP 2021, 2021 | 38 | 2021 |
| Training Language Models with Language Feedback J Scheurer, JA Campos, JS Chan, A Chen, K Cho, E Perez ACL 2022 Workshop on Learning with Natural Language Supervision, 2022 | 34* | 2022 |
| Finding Generalizable Evidence by Learning to Convince Q&A Models E Perez, S Karamcheti, R Fergus, J Weston, D Kiela, K Cho EMNLP 2019, 2019 | 34 | 2019 |
Florian STRUBDeepMindVerified email at google.com
