Systematic review of human and organizational risks for probabilistic risk analysis in high-rise buildings. - Samson Tan; Khalid A. M. Moinuddin (Reliab. Eng. Syst. Saf., 2019)

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations. - Samson Tan; Shafiq R. Joty; Min-Yen Kan; Richard Socher (ACL, 2020)

Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. - Samson Tan; Shafiq R. Joty; Lav R. Varshney; Min-Yen Kan (EMNLP (1), 2020)

Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. - Samson Tan; Shafiq R. Joty; Lav R. Varshney; Min-Yen Kan (CoRR, 2020)

Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots. - Samson Tan; Shafiq R. Joty (CALCS@NAACL, 2021)

Reliability Testing for Natural Language Processing Systems. - Samson Tan; Shafiq R. Joty; Kathy Baxter; Araz Taeihagh; Gregory A. Bennett; Min-Yen Kan (ACL/IJCNLP (1), 2021)

Robustness Gym: Unifying the NLP Evaluation Landscape. - Karan Goel; Nazneen Fatema Rajani; Jesse Vig; Samson Tan; Jason Wu; Stephan Zheng; Caiming Xiong; Mohit Bansal; Christopher Ré (CoRR, 2021)

Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features. - Yunxiang Zhang 002; Liangming Pan; Samson Tan; Min-Yen Kan (CoRR, 2021)

TraVLR: Now You See It, Now You Don't! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning. - Keng Ji Chow; Samson Tan; Min-Yen Kan (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP. - Sabrina J. Mielke; Zaid Alyafeai; Elizabeth Salesky; Colin Raffel; Manan Dey; Matthias Gallé; Arun Raja; Chenglei Si; Wilson Y. Lee; Benoît Sagot; Samson Tan (CoRR, 2021)

Interpreting the Robustness of Neural NLP Models to Textual Perturbations. - Yunxiang Zhang 002; Liangming Pan; Samson Tan; Min-Yen Kan (ACL (Findings), 2022)

BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems. - Guangsen Wang; Samson Tan; Shafiq R. Joty; Gang Wu; Jimmy Au; Steven C. H. Hoi (EMNLP (Demos), 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Isaac Johnson 001; Gérard Dupont; Jesse Dodge; et al. (FAccT, 2022)

Whodunit? Learning to Contrast for Authorship Attribution. - Bo Ai 004; Yuchen Wang; Yugin Tan; Samson Tan (AACL/IJCNLP (1), 2022)

The Risks of Machine Learning Systems. - Samson Tan; Araz Taeihagh; Kathy Baxter (CoRR, 2022)

Data Governance in the Age of Large-Scale Data-Driven Language Technology. - Yacine Jernite; Huu Nguyen; Stella Biderman; Anna Rogers; Maraim Masoud; Valentin Danchev; Samson Tan; Alexandra Sasha Luccioni; Nishant Subramani; Gérard Dupont; Jesse Dodge; Kyle Lo; et al. (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

ReCode: Robustness Evaluation of Code Generation Models. - Shiqi Wang 002; Zheng Li; Haifeng Qian; Chenghao Yang 001; Zijian Wang 002; Mingyue Shang; Varun Kumar; Samson Tan; Baishakhi Ray; Parminder Bhatia; Ramesh Nallapati; Murali Krishna Ramanathan; et al. (ACL (1), 2023)

TraVLR: Now You See It, Now You Don't! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning. - Keng Ji Chow; Samson Tan; Min-Yen Kan (EACL, 2023)

Large Language Models of Code Fail at Completing Code with Potential Bugs. - Tuan Dinh; Jinman Zhao; Samson Tan; Renato Negrinho; Leonard Lausen; Sheng Zha; George Karypis (NeurIPS, 2023)

Automatic Feature Fairness in Recommendation via Adversaries. - Hengchang Hu; Yiming Cao; Zhankui He; Samson Tan; Min-Yen Kan (SIGIR-AP, 2023)

Learning to Generate Answers with Citations via Factual Consistency Models. - Rami Aly; Zhiqiang Tang; Samson Tan; George Karypis (ACL (1), 2024)

Extreme Miscalibration and the Illusion of Adversarial Robustness. - Vyas Raina; Samson Tan; Volkan Cevher; Aditya Rawal; Sheng Zha; George Karypis (ACL (1), 2024)

Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs. - Dingmin Wang; Jinman Zhao; Hengzhi Pei; Samson Tan; Sheng Zha (ACL (Findings), 2024)

Lessons from the Trenches on Reproducible Evaluation of Language Models. - Stella Biderman; Hailey Schoelkopf; Lintang Sutawika; Leo Gao; Jonathan Tow; Baber Abbasi; Alham Fikri Aji; Pawan Sasanka Ammanamanchi; Sidney Black; Jordan Clive; Anthony DiPofi; Julen Etxaniz; et al. (CoRR, 2024)