PhD student at UC Berkeley | Ethical NLP
I'm a third-year PhD student at UC Berkeley, advised by Rediet Abebe and Dan Klein. My research lies at the intersection of natural language processing (NLP) and ethical AI: 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 LLMs, 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.
Eve Fleisig, Rediet Abebe, Dan Klein (EMNLP 2023).
Olivia Huang, Eve Fleisig, Dan Klein (EMNLP 2023).
Vivek Verma, Eve Fleisig, Nicholas Tomlin, Dan Klein
Hedges and Apologies in ChatGPT Responses to African-American English
Eve Fleisig (NWAV 2023).
Naomi Saphra, Eve Fleisig, Kyunghyun Cho, Adam Lopez
Vyoma Raman*, Eve Fleisig*, Dan Klein (EMNLP 2023).
Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann, Hanna Wallach (ACL 2023).
Eve Fleisig, Christiane Fellbaum
Outstanding Senior Thesis Award; Sigma Xi Book Award
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
My surname is pronounced /'flʌɪsɪg/ ("fly"-sihg).
🇦🇷¡Siempre estoy feliz de charlar con otros latinoamericanos!