Conference on Empirical Methods in Natural Language Processing · 2024
Cited
16
Resume (English only)
Academic Achievements
Published multiple papers in international conferences such as COLM 2025, ICLR 2025, covering topics like testing visual reasoning capabilities, discovering implicit evaluation criteria, and evaluating feedback protocols for bias in LLM-based evaluation.
Research Experience
Previously an Associate Research Engineer with the R&D team at Goldman Sachs for three years, working closely with Vijay Saraswat, Johannes Hoffart, and Luciano Del Corro on Document AI and Conversation Understanding specific to Finance.
Education
PhD student, co-advised by Professor Greg Durrett and Professor Junyi Jessy Li. Started PhD at UT Austin and moved to NYU (Courant) to continue. Master's in Computer Science from Johns Hopkins University, and undergrad from IIIT-Delhi majoring in Computer Science.
Background
Interested in understanding how LLMs perform at creative tasks and the strategies they employ to solve them. Also interested in developing methods to make language models more creative.
Miscellany
Contact: mw4141@nyu.edu, manya.wadhwa@utexas.edu; Pronouns: she/her; Social media: Twitter, LinkedIn, Google Scholar, GitHub