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Eve Fleisig
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2020 – today
- 2024
- [c7]Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein:
Ghostbuster: Detecting Text Ghostwritten by Large Language Models. NAACL-HLT 2024: 1702-1717 - [c6]Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat:
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. NAACL-HLT 2024: 2279-2292 - [c5]Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez:
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models. NAACL-HLT 2024: 2310-2326 - [e1]Xiyan Fu, Eve Fleisig:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Student Research Workshop, Bangkok, Thailand, August 11-16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-097-4 [contents] - [i12]Jessica Dai, Eve Fleisig:
Mapping Social Choice Theory to RLHF. CoRR abs/2404.13038 (2024) - [i11]Eve Fleisig, Su Lin Blodgett, Dan Klein, Zeerak Talat:
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels. CoRR abs/2405.05860 (2024) - [i10]Genevieve Smith, Eve Fleisig, Madeline Bossi, Ishita Rustagi, Xavier Yin:
Standard Language Ideology in AI-Generated Language. CoRR abs/2406.08726 (2024) - [i9]Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein:
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. CoRR abs/2406.08818 (2024) - [i8]Yoo Yeon Sung, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber:
ADVSCORE: A Metric for the Evaluation and Creation of Adversarial Benchmarks. CoRR abs/2406.16342 (2024) - 2023
- [c4]Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna M. Wallach:
FairPrism: Evaluating Fairness-Related Harms in Text Generation. ACL (1) 2023: 6231-6251 - [c3]Olivia Huang, Eve Fleisig, Dan Klein:
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. EMNLP 2023: 1010-1028 - [c2]Eve Fleisig, Rediet Abebe, Dan Klein:
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. EMNLP 2023: 6715-6726 - [c1]Vyoma Raman, Eve Fleisig, Dan Klein:
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. EMNLP 2023: 9316-9329 - [i7]Eve Fleisig, Rediet Abebe, Dan Klein:
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks. CoRR abs/2305.06626 (2023) - [i6]Vyoma Raman, Eve Fleisig, Dan Klein:
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection. CoRR abs/2305.14735 (2023) - [i5]Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein:
Ghostbuster: Detecting Text Ghostwritten by Large Language Models. CoRR abs/2305.15047 (2023) - [i4]Olivia Huang, Eve Fleisig, Dan Klein:
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP. CoRR abs/2311.02802 (2023) - [i3]Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez:
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models. CoRR abs/2311.05020 (2023) - 2022
- [i2]Eve Fleisig, Christiane Fellbaum:
Mitigating Gender Bias in Machine Translation through Adversarial Learning. CoRR abs/2203.10675 (2022) - 2020
- [i1]Ameet Deshpande, Eve Fleisig:
Sentiment Analysis for Reinforcement Learning. CoRR abs/2010.02316 (2020)
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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