Chantal Shaib

According to our database, Chantal Shaib authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Brittlebench: Quantifying LLM robustness via prompt sensitivity.

Angelika Romanou, Mark Ibrahim, Candace Ross, Chantal Shaib, Kerem Okta, Samuel J. Bell, Elia Ovalle, Jesse Dodge, Antoine Bosselut, Koustuv Sinha, Adina Williams

CoRR, March, 2026

Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence.

Kaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, Ramez Kouzy, Wei Xu, Byron C. Wallace, Junyi Jessy Li

CoRR, January, 2026

2025

Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models.

Chantal Shaib, Vinith M. Suriyakumar, Levent Sagun, Byron C. Wallace, Marzyeh Ghassemi

CoRR, September, 2025

Measuring AI "Slop" in Text.

Chantal Shaib, Tuhin Chakrabarty, Diego Garcia-Olano, Byron C. Wallace

CoRR, September, 2025

Measuring diversity of synthetic prompts and data generated with fine-grained persona prompting.

Gauri Kambhatla, Chantal Shaib, Venkata Govindarajan

CoRR, May, 2025

Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models.

Chantal Shaib, Vinith M. Suriyakumar, Byron C. Wallace, Marzyeh Ghassemi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Measuring Lexical Diversity of Synthetic Data Generated through Fine-Grained Persona Prompting.

Gauri Kambhatla, Chantal Shaib, Venkata Govindarajan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Who Taught You That? Tracing Teachers in Model Distillation.

Somin Wadhwa, Chantal Shaib, Silvio Amir, Byron C. Wallace

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores.

Chantal Shaib, Joe Barrow, Jiuding Sun, Alexa F. Siu, Byron C. Wallace, Ani Nenkova

CoRR, 2024

How Much Annotation is Needed to Compare Summarization Models?

Chantal Shaib, Joe Barrow, Alexa F. Siu, Byron C. Wallace, Ani Nenkova

CoRR, 2024

Evaluating the Zero-shot Robustness of Instruction-tuned Language Models.

Jiuding Sun, Chantal Shaib, Byron C. Wallace

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Detection and Measurement of Syntactic Templates in Generated Text.

Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success).

Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2020

Explainable Clinical Decision Support from Text.

Jinyue Feng, Chantal Shaib, Frank Rudzicz

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020