معرفی
Eunsol Choi is an Assistant Professor in Computer Science at New York University's Courant Institute and the Data Science program. Previously, she held an Assistant Professor position at the University of Texas at Austin (2020–2023) and was a researcher at Google AI (New York City). She earned her Ph.D. in Computer Science from the University of Washington, advised by Luke Zettlemoyer and Yejin Choi.
Her research focuses on advancing NLP and machine learning, particularly in areas like continual learning, long-form question answering (QA), and spoken language processing. Key projects include developing benchmarks like PropMEND, SituatedQA, and AmbigDocs, as well as exploring model robustness and human-LM interaction. Her work emphasizes practical applications, such as improving QA systems, reducing model hallucinations, and scaling style-prompted TTS datasets.
Research Interests:
- Continual Learning & Knowledge Editing
- Long-form QA and Multimodal Reasoning
- Human-Machine Interaction in NLP
- Spoken Language and Speech-to-Speech Translation
- Benchmark Design for NLP Evaluation
Her lab's research has been supported by grants from Google, Open Philanthropy, Cisco, Sony, Home Depot, Apple, and the NSF. Notable awards include the Outstanding Paper Award at EMNLP 2021 for SituatedQA.
Key Contributions:
- Proposed frameworks for knowledge propagation in LLMs.
- Designed datasets addressing ambiguity in QA (e.g., AmbigDocs).
- Advanced TTS systems with rich style annotations (e.g., ParaSpeechCaps).
Lab & Students: Her research group (nicknamed by students as the (E)xplaining and (U)nderstanding (N)ature and (S)tructure/Synthesis (O)f (L)anguage lab) has produced over 20 Ph.D. and undergraduate researchers, many advancing to roles at top tech companies and academia.
