Samson Tan
Samson Tan
Applied Scientist at AWS AI Research & Education
E-mailová adresa ověřena na: - Domovská stránka
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
Robustness gym: Unifying the NLP evaluation landscape
K Goel, N Rajani, J Vig, S Tan, J Wu, S Zheng, C Xiong, M Bansal, C Ré
arXiv preprint arXiv:2101.04840, 2021
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
S Tan, S Joty, MY Kan, R Socher
The 58th Annual Meeting of the Association for Computational Linguistics …, 2020
You reap what you sow: On the challenges of bias evaluation under multilingual settings
Z Talat, A Névéol, S Biderman, M Clinciu, M Dey, S Longpre, S Luccioni, ...
Proceedings of BigScience Episode# 5--Workshop on Challenges & Perspectives …, 2022
Between words and characters: A brief history of open-vocabulary modeling and tokenization in NLP
SJ Mielke, Z Alyafeai, E Salesky, C Raffel, M Dey, M Gallé, A Raja, C Si, ...
arXiv preprint arXiv:2112.10508, 2021
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
Data governance in the age of large-scale data-driven language technology
Y Jernite, H Nguyen, S Biderman, A Rogers, M Masoud, V Danchev, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding
S Tan, S Joty, LR Varshney, MY Kan
The 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
S Tan, S Joty
2021 Annual Conference of the North American Chapter of the Association for …, 2021
Reliability Testing for Natural Language Processing Systems
S Tan, S Joty, K Baxter, A Taeihagh, GA Bennett, MY Kan
The Joint Conference of the 59th Annual Meeting of the Association for …, 2021
Interpreting the robustness of neural NLP models to textual perturbations
Y Zhang, L Pan, S Tan, MY Kan
arXiv preprint arXiv:2110.07159, 2021
Recode: Robustness evaluation of code generation models
S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan, B Ray, ...
arXiv preprint arXiv:2212.10264, 2022
Whodunit? Learning to Contrast for Authorship Attribution
B Ai, Y Wang, Y Tan, S Tan
arXiv preprint arXiv:2209.11887, 2022
The risks of machine learning systems
S Tan, A Taeihagh, K Baxter
arXiv preprint arXiv:2204.09852, 2022
Large language models of code fail at completing code with potential bugs
T Dinh, J Zhao, S Tan, R Negrinho, L Lausen, S Zha, G Karypis
Advances in Neural Information Processing Systems 36, 2024
Systems and methods for generating natural language processing training samples with inflectional perturbations
SMR Tan, SR Joty
US Patent 11,256,754, 2022
Linguistically-Inclusive Natural Language Processing
S Tan
Ph. D. Dissertation. National University of Singapore, 2022
Automatic Feature Fairness in Recommendation via Adversaries
H Hu, Y Cao, Z He, S Tan, MY Kan
Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems
G Wang, S Tan, S Joty, G Wu, J Au, S Hoi
arXiv preprint arXiv:2211.11982, 2022
Extreme Miscalibration and the Illusion of Adversarial Robustness
V Raina, S Tan, V Cevher, A Rawal, S Zha, G Karypis
arXiv preprint arXiv:2402.17509, 2024
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Články 1–20