| StarCoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... Transactions on Machine Learning Research (TMLR 2023), 2023 | 403* | 2023 |
| An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models N Meade, E Poole-Dayan, S Reddy Association for Computational Linguistics (ACL 2022), 2022 | 118 | 2022 |
| Evaluating correctness and faithfulness of instruction-following models for question answering V Adlakha, P BehnamGhader, XH Lu, N Meade, S Reddy Transactions of the Association for Computational Linguistics (TACL 2024), 2023 | 36 | 2023 |
| Evaluating the faithfulness of importance measures in nlp by recursively masking allegedly important tokens and retraining A Madsen, N Meade, V Adlakha, S Reddy Findings of Empirical Methods in Natural Language Processing (EMNLP 2022), 2022 | 30 | 2022 |
| Using In-Context Learning to Improve Dialogue Safety N Meade, S Gella, D Hazarika, P Gupta, D Jin, S Reddy, Y Liu, ... Findings of Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 | 20 | 2023 |
| Exploring conditioning for generative music systems with human-interpretable controls N Meade, N Barreyre, SC Lowe, S Oore International Conference on Computational Creativity (ICCC 2019), 2019 | 18 | 2019 |
| Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean M. Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de … R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... ArXiv preprint, 0 | 5 | |
| Universal Adversarial Triggers Are Not Universal N Meade, A Patel, S Reddy arXiv preprint arXiv:2404.16020, 2024 | | 2024 |
