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Eve Fleisig
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Year
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
V Verma, E Fleisig, N Tomlin, D Klein
arXiv preprint arXiv:2305.15047, 2023
242023
FairPrism: Evaluating fairness-related harms in text generation
E Fleisig, A Amstutz, C Atalla, SL Blodgett, H Daumé III, A Olteanu, ...
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
122023
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
E Fleisig, R Abebe, D Klein
arXiv preprint arXiv:2305.06626, 2023
102023
Mitigating Gender Bias in Machine Translation through Adversarial Learning
E Fleisig, C Fellbaum
arXiv preprint arXiv:2203.10675, 2022
8*2022
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
N Saphra, E Fleisig, K Cho, A Lopez
arXiv preprint arXiv:2311.05020, 2023
32023
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP
O Huang, E Fleisig, D Klein
arXiv preprint arXiv:2311.02802, 2023
32023
Sentiment Analysis for Reinforcement Learning
A Deshpande, E Fleisig
arXiv preprint arXiv:2010.02316, 2020
22020
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
V Raman, E Fleisig, D Klein
arXiv preprint arXiv:2305.14735, 2023
2023
Hedges and apologies in ChatGPT responses to African-American English
E Fleisig
New Ways of Analyzing Variation (NWAV 51), 2023
2023
Bilingual Lexical Access and Cognate Idiom Comprehension
E Fleisig
Proceedings of the Workshop on the Cognitive Aspects of the Lexicon, 98-106, 2020
2020
VEMOS: A GUI for Evaluation of Similarity Metrics on Complex Data Sets
E Fleisig, G Dogan
2020
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Articles 1–11