Vanya Cohen
Ph.D. Student
I am a third-year Ph.D. student advised by Ray Mooney. My research integrates robotics, natural language processing, and reinforcement learning to help robots work collaboratively with humans. I was previously a master’s student advised by Stefanie Tellex and George Konidaris at Brown University.
Homepage:
https://www.vanyacohen.com
Publications
A Survey of Robotic Language Grounding: Tradeoffs Between Symbols and Embeddings 2024
Vanya Cohen, Jason Xinyu Liu, Raymond Mooney, Stefanie Tellex, David Watkins, International Joint Conference on Artificial Intelligence (IJCAI) (2024).
CAPE: Corrective Actions from Precondition Errors using Large Language Models 2024
Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees, Eric Rosen, Raymond Mooney, Stefanie Tellex, and David Paulius, International Conference on Robotics and Automation (ICRA) (2024).
CAT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans 2024
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney, Empirical Methods in Natural Language Processing (EMNLP) (2024).
Using Planning to Improve Semantic Parsing of Instructional Texts 2023
Vanya Cohen, Raymond Mooney, Association of Computational Linguistics (ACL), Natural Language Reasoning and Structured Explanations Workshop (2023).
End-to-End Learning to Follow Language Instructions with Compositional Policies 2022
Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven James, Ray Mooney, Benjamin Rosman, Workshop on Language and Robot Learning at CoRL 2022 (2022).
Planning with Large Language Models via Corrective Re-prompting 2022
Shreyas Sundara Raman, Vanya Cohen, Eric Rosen, Ifrah Idrees, David Paulius, Stefanie Tellex, Foundation Models for Decision Making Workshop at NeurIPS 2022 (2022).
Labs
Currently affiliated with Machine Learning