Eve Fleisig

According to our database, Eve Fleisig authored at least 22 papers between 2020 and 2026.

Collaborative distances:

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

2026

AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?

Maharshi Gor, Yoo Yeon Sung, Yu Hou, Eve Fleisig, Irene Ying, Tianyi Zhou, Jordan L. Boyd-Graber

CoRR, May, 2026

PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm.

Jing-Jing Li, Joel Mire, Eve Fleisig, Valentina Pyatkin, Anne Collins, Maarten Sap, Sydney Levine

CoRR, January, 2026

Standard Language Ideology in AI-Generated Language.

Genevieve Smith, Eve Fleisig, Ishita Rustagi, Xavier O'Chun Yin

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Characterizing Language Use in a Collaborative Situated Game.

Nicholas Tomlin, Naitian Zhou, Eve Fleisig, Liangyuan Chen, Téa Wright, Lauren Vinh, Laura X. Ma, Seun Eisape, Ellie French, Tingting Du, Tianjiao Zhang, Alexander Koller, Alane Suhr

CoRR, December, 2025

GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration.

Yoo Yeon Sung, Eve Fleisig, Yufang Hou, Ishan Upadhyay, Jordan Lee Boyd-Graber

CoRR, February, 2025

Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions.

Eve Fleisig, Matthias Orlikowski, Philipp Cimiano, Daniel Klein

Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP, 2025

Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness.

Yoo Yeon Sung, Maharshi Gor, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration.

Yoo Yeon Sung, Eve Fleisig, Yu Hou, Ishan Upadhyay, Jordan Lee Boyd-Graber

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

ADVSCORE: A Metric for the Evaluation and Creation of Adversarial Benchmarks.

Yoo Yeon Sung, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber

CoRR, 2024

Standard Language Ideology in AI-Generated Language.

Genevieve Smith, Eve Fleisig, Madeline Bossi, Ishita Rustagi, Xavier Yin

CoRR, 2024

Mapping Social Choice Theory to RLHF.

Jessica Dai, Eve Fleisig

CoRR, 2024

Ghostbuster: Detecting Text Ghostwritten by Large Language Models.

Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models.

Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels.

Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree.

Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik

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

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination.

Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein

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

2023

Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection.

Vyoma Raman, Eve Fleisig, Dan Klein

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Incorporating Worker Perspectives into MTurk Annotation Practices for NLP.

Olivia Huang, Eve Fleisig, Dan Klein

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks.

Eve Fleisig, Rediet Abebe, Dan Klein

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FairPrism: Evaluating Fairness-Related Harms in Text Generation.

Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Mitigating Gender Bias in Machine Translation through Adversarial Learning.

Eve Fleisig, Christiane Fellbaum

CoRR, 2022

2020

Sentiment Analysis for Reinforcement Learning.

Ameet Deshpande, Eve Fleisig

CoRR, 2020