Eve Fleisig
PhD student at UC Berkeley | Ethical NLP
I'm a fourth-year PhD student at UC Berkeley, advised by Dan Klein. My research lies at the intersection of natural language processing (NLP) and AI ethics: how can we create NLP systems that we trust to work for all users, without perpetuating societal harms? Specifically, I have worked on measuring & mitigating harms in text generated by language models, improving evaluation, and training models that account for different user perspectives or data annotators who disagree.
I did my undergraduate work at Princeton University, advised by Christiane Fellbaum, where I worked on the psycholinguistics of bilingualism and fairness in NLP.
My research is supported by an NSF Graduate Research Fellowship.
Selected Work
Please see Google or Semantic Scholar for an up-to-date publication list.
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect
Discrimination
Eve Fleisig*, Genevieve Smith*, Madeline Bossi*, Ishita Rustagi*, Xavier Yin*, Dan Klein (EMNLP 2024).
Mapping Social Choice Theory to RLHF
Jessica Dai, Eve Fleisig (R2FM @ ICLR 2024).
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
Eve Fleisig, Rediet Abebe, Dan Klein (EMNLP 2023).
Incorporating Worker Perspectives into MTurk Annotation Practices for NLP
Olivia Huang, Eve Fleisig, Dan Klein (EMNLP 2023 - Outstanding Paper Award).
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein
[ ARXIV ] [ TWITTER ] [ BLOG ]
Hedges and Apologies in ChatGPT Responses to African-American English
Eve Fleisig (NWAV 2023).
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models
Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
Vyoma Raman*, Eve Fleisig*, Dan Klein (EMNLP 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 Wallach (ACL 2023).
Mitigating Gender Bias in Machine Translation through Adversarial Learning
Eve Fleisig, Christiane Fellbaum
Outstanding Senior Thesis Award; Sigma Xi Book Award
Mentorship
I've mentored some wonderful undergraduate students, including Harbani Jaggi, Kayla Lee, Kashyap Murali, Mahathi Ryali, Zaina Shaik, Vivek Verma, Xavier Yin, Olivia Huang (→Citadel), and Vyoma Raman (→Stanford).
If you are an undergraduate interested in working together, please email me your resume, a description of your interests, and why you're interested in working with me.
Interested in chatting or collaborating?
Reach out to me at efleisig :at: berkeley :dot: edu
Miscellaneous
My surname is pronounced /'flʌɪsɪg/ ("fly"-sihg).
I'm a member of ACF, a volunteer-run organization that produces high-quality collegiate quizbowl tournaments.
🇦🇷¡Siempre estoy feliz de charlar con otros latinoamericanos!