| 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 | 177 | 2022 |
| Few-shot parameter-efficient fine-tuning is better and cheaper than in-context learning H Liu, D Tam, M Muqeeth, J Mohta, T Huang, M Bansal, CA Raffel Advances in Neural Information Processing Systems 35, 1950-1965, 2022 | 88 | 2022 |
| Improving and simplifying pattern exploiting training D Tam, RR Menon, M Bansal, S Srivastava, C Raffel arXiv preprint arXiv:2103.11955, 2021 | 82 | 2021 |
| An empirical survey of data augmentation for limited data learning in NLP J Chen, D Tam, C Raffel, M Bansal, D Yang Transactions of the Association for Computational Linguistics 11, 191-211, 2023 | 46 | 2023 |
| Optimal transport-based alignment of learned character representations for string similarity D Tam, N Monath, A Kobren, A Traylor, R Das, A McCallum arXiv preprint arXiv:1907.10165, 2019 | 14 | 2019 |
| Isochrony-aware neural machine translation for automatic dubbing D Tam, SM Lakew, Y Virkar, P Mathur, M Federico | 4 | 2022 |
| Evaluating the Factual Consistency of Large Language Models Through Summarization D Tam, A Mascarenhas, S Zhang, S Kwan, M Bansal, C Raffel arXiv preprint arXiv:2211.08412, 2022 | 3 | 2022 |
| Prosody-Aware Neural Machine Translation for Dubbing D Tam, SM Lakew, Y Virkar, P Mathur, M Federico arXiv preprint arXiv:2112.08548, 2021 | 2 | 2021 |
| Predicting Institution Hierarchies with Set-based Models D Tam, N Monath, A Kobren, A McCallum Automated Knowledge Base Construction, 2020 | 1 | 2020 |
| Simple Weakly-Supervised Image Captioning via CLIP's Multimodal Embeddings D Tam, C Raffel, M Bansal The AAAI-23 Workshop on Creative AI Across Modalities, 2023 | | 2023 |
| Improving and Simplifying Pattern Exploiting Training Open Website D Tam, RR Menon, M Bansal, S Srivastava, C Raffel | | |
