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Derek Tam
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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
6102022
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
3292022
Improving and simplifying pattern exploiting training
D Tam, RR Menon, M Bansal, S Srivastava, C Raffel
arXiv preprint arXiv:2103.11955, 2021
1222021
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
992023
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
262022
Evaluating the factual consistency of large language models through news summarization
D Tam, A Mascarenhas, S Zhang, S Kwan, M Bansal, C Raffel
Findings of the Association for Computational Linguistics: ACL 2023, 5220-5255, 2023
212023
Resolving Interference When Merging Models
P Yadav, D Tam, L Choshen, C Raffel, M Bansal
arXiv preprint arXiv:2306.01708, 2023
212023
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
142019
Isochrony-aware neural machine translation for automatic dubbing
D Tam, SM Lakew, Y Virkar, P Mathur, M Federico
arXiv preprint arXiv:2112.08548, 2021
122021
Ties-merging: Resolving interference when merging models
P Yadav, D Tam, L Choshen, CA Raffel, M Bansal
Advances in Neural Information Processing Systems 36, 2024
82024
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
22023
Predicting Institution Hierarchies with Set-based Models
D Tam, N Monath, A Kobren, A McCallum
Automated Knowledge Base Construction, 2020
12020
Merging by Matching Models in Task Subspaces
D Tam, M Bansal, C Raffel
arXiv preprint arXiv:2312.04339, 2023
2023
[TACL] An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
J Chen, D Tam, C Raffel, M Bansal, D Yang
The 61st Annual Meeting Of The Association For Computational Linguistics, 2023
2023
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Articles 1–14