| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1149 | 2023 |
| 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 | 120 | 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 | 106 | 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 | 66 | 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 | 66* | 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 | 64 | 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 | 48 | 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 | 35 | 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 | 27 | 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 | 26 | 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 | 14 | 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 | 11 | 2022 |
| Whodunit? Learning to Contrast for Authorship Attribution B Ai, Y Wang, Y Tan, S Tan arXiv preprint arXiv:2209.11887, 2022 | 8 | 2022 |
| The risks of machine learning systems S Tan, A Taeihagh, K Baxter arXiv preprint arXiv:2204.09852, 2022 | 8 | 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 | 7 | 2024 |
| Systems and methods for generating natural language processing training samples with inflectional perturbations SMR Tan, SR Joty US Patent 11,256,754, 2022 | 3 | 2022 |
| Linguistically-Inclusive Natural Language Processing S Tan Ph. D. Dissertation. National University of Singapore, 2022 | 2 | 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 | 1 | 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 | 1* | 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 | | 2024 |
Shafiq JotyResearch Director at Salesforce Research, Assoc. Prof. at NTU (on leave)Adresse e-mail validée de ntu.edu.sg
