| 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 | 744* | 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 | 161 | 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 | 74 | 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 | 34 | 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 | 28 | 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 | 23 | 2019 |
| Universal adversarial triggers are not universal N Meade, A Patel, S Reddy arXiv preprint arXiv:2404.16020, 2024 | 3 | 2024 |
