Elias Stengel-Eskin
Assistant Professor
Elias Stengel-Eskin is an Assistant Professor of Computer Science. His research spans artificial intelligence, natural language processing, and computational linguistics, and focuses on developing AI agents that can intelligently communicate and collaborate with people and each other. This includes work on multi-agent communication and collaboration, converting language to action, grounding language to vision, and handling uncertainty, ambiguity, and underspecification. Before joining UT Austin, he was a Postdoctoral Research Associate at the University of North Carolina, Chapel Hill. He received a Ph.D. in Computer Science in 2023 from Johns Hopkins University and a B.A. & Sc. in Cognitive Science from McGill University in 2018.
Research
Research Areas:
Select Publications
- Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal; ReGAL: Refactoring Programs to Discover Generalizable Abstractions (ICML 2024)
- Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme; Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA (ACL 2023)
- Elias Stengel-Eskin, Peter Hase, Mohit Bansal; LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models (NeurIPS 2024)
- Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal; DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback (ICLR 2025 Spotlight)
- Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin; Visual Commonsense in Pretrained Unimodal and Multimodal Models (NAACL 2022)
- Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme; Zero and Few-shot Semantic Parsing with Ambiguous Inputs (ICLR 2024)
Awards & Honors
- 2018 - NSF Graduate Research Fellowship