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Derek Tam
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Journal Articles
- 2023
- [j2]Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang:
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP. Trans. Assoc. Comput. Linguistics 11: 191-211 (2023) - 2014
- [j1]Hui Pan
, Yuan Yao, Mostafa Hammad, Junhua Tan, Karim Abdelhalim, Evelyn Wenting Wang, Rick C. J. Hsu, Derek Tam, Ichiro Fujimori:
A Full-Duplex Line Driver for Gigabit Ethernet With Rail-to-Rail Class-AB Output Stage in 28 nm CMOS. IEEE J. Solid State Circuits 49(12): 3141-3155 (2014)
Conference and Workshop Papers
- 2023
- [c10]Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel:
Evaluating the Factual Consistency of Large Language Models Through News Summarization. ACL (Findings) 2023: 5220-5255 - [c9]Prateek Yadav, Derek Tam, Leshem Choshen, Colin A. Raffel, Mohit Bansal:
TIES-Merging: Resolving Interference When Merging Models. NeurIPS 2023 - 2022
- [c8]Derek Tam, Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico:
Isochrony-Aware Neural Machine Translation for Automatic Dubbing. INTERSPEECH 2022: 1776-1780 - [c7]Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel:
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. NeurIPS 2022 - 2021
- [c6]Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel:
Improving and Simplifying Pattern Exploiting Training. EMNLP (1) 2021: 4980-4991 - 2020
- [c5]Derek Tam, Nicholas Monath, Ari Kobren, Andrew McCallum:
Predicting Institution Hierarchies with Set-based Models. AKBC 2020 - 2019
- [c4]Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum:
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. ACL (1) 2019: 5907-5917 - 2016
- [c3]Hui Pan
, Junhua Tan, Evelyn Wenting Wang, Jingguang Wang, Karthik Swaminathan, Ramalingam Pandarinathan, Ramesh Pasagadugula, VamshiKrishna Yakkala, Mostafa Hammad, Karim Abdelhalim, Kaijun Li, Su Cui, Jing Wang, Ahmad Chini, Mehmet Tazebay, Suresh Venkatesan, Derek Tam, Ichiro Fujimori, Kambiz Vakilian:
10.3 An analog front-end for 100BASE-T1 automotive Ethernet in 28nm CMOS. ISSCC 2016: 186-187 - 2014
- [c2]Hui Pan
, Yuan Yao, Mostafa Hammad, Junhua Tan, Karim Abdelhalim, Evelyn Wenting Wang, Rick C. J. Hsu, Jenny Yu, Joseph N. Y. Aziz, Derek Tam, Ichiro Fujimori:
8.6 A full-duplex line driver for Gigabit Ethernet with rail-to-rail class-AB output stage in 28nm CMOS. ISSCC 2014: 148-149 - 2011
- [c1]Joseph N. Y. Aziz, Ark-Chew Wong, Andrew Chen, Derek Tam:
A 65nm CMOS self-terminated open-drain IDAC line driver suitable for fast Ethernet applications. CICC 2011: 1-4
Informal and Other Publications
- 2023
- [i8]Prateek Yadav, Derek Tam, Leshem Choshen, Colin Raffel, Mohit Bansal:
Resolving Interference When Merging Models. CoRR abs/2306.01708 (2023) - [i7]Derek Tam, Mohit Bansal, Colin Raffel:
Merging by Matching Models in Task Subspaces. CoRR abs/2312.04339 (2023) - 2022
- [i6]Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel:
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning. CoRR abs/2205.05638 (2022) - [i5]Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel:
Evaluating the Factual Consistency of Large Language Models Through Summarization. CoRR abs/2211.08412 (2022) - 2021
- [i4]Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel:
Improving and Simplifying Pattern Exploiting Training. CoRR abs/2103.11955 (2021) - [i3]Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang:
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP. CoRR abs/2106.07499 (2021) - [i2]Derek Tam, Surafel Melaku Lakew, Yogesh Virkar, Prashant Mathur, Marcello Federico:
Prosody-Aware Neural Machine Translation for Dubbing. CoRR abs/2112.08548 (2021) - 2019
- [i1]Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum:
Optimal Transport-based Alignment of Learned Character Representations for String Similarity. CoRR abs/1907.10165 (2019)
Coauthor Index
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