Scholar
Eve Fleisig
Google Scholar ID: NHlxXzwAAAAJ
UC Berkeley
Citations & Impact
Citations
443
H-index
10
i10-index
10
Publications
19
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of NSF Graduate Research Fellowship and Berkeley Chancellor's Fellowship; Published multiple papers including 'Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions' and received the Outstanding Paper Award at NAACL 2025.
Research Experience
- Conducted research at UC Berkeley, focusing on measuring and mitigating harms of language models, improving evaluation, and training models that account for different user perspectives or data annotators who disagree.
Education
- PhD student, UC Berkeley, advised by Dan Klein; Undergraduate, Princeton University, advised by Christiane Fellbaum.
Background
- Research interests: natural language processing (NLP) and AI ethics; Field: Computer Science; Background: focused on creating NLP systems that are trusted to work for all users without perpetuating societal harms.
Miscellany
- Surname pronounced as /'flʌɪsɪg/ ("fly"-sihg); Member of ACF.
