Grounding Language Attributes to Objects using Bayesian Eigenobjects. - Vanya Cohen; Benjamin Burchfiel; Thao Nguyen; Nakul Gopalan; Stefanie Tellex; George Dimitri Konidaris (IROS, 2019)

OpenGPT-2: open language models and implications of generated text. - Vanya Cohen; Aaron Gokaslan (XRDS, 2020)

Learning to Follow Language Instructions with Compositional Policies. - Vanya Cohen; Geraud Nangue Tasse; Nakul Gopalan; Steven James 001; Matthew C. Gombolay; Benjamin Rosman (CoRR, 2021)

Planning with Large Language Models via Corrective Re-prompting. - Shreyas Sundara Raman; Vanya Cohen; Eric Rosen; Ifrah Idrees; David Paulius; Stefanie Tellex (CoRR, 2022)

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. - Yash Kumar Lal; Vanya Cohen; Nathanael Chambers; Niranjan Balasubramanian; Raymond J. Mooney (EMNLP, 2024)

CAPE: Corrective Actions from Precondition Errors using Large Language Models. - Shreyas Sundara Raman; Vanya Cohen; Ifrah Idrees; Eric Rosen; Raymond Mooney; Stefanie Tellex; David Paulius (ICRA, 2024)

A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings. - Vanya Cohen; Jason Xinyu Liu; Raymond Mooney; Stefanie Tellex; David Watkins (IJCAI, 2024)

Compositional Instruction Following with Language Models and Reinforcement Learning. - Vanya Cohen; Geraud Nangue Tasse; Nakul Gopalan; Steven James 001; Matthew C. Gombolay; Raymond Mooney; Benjamin Rosman (Trans. Mach. Learn. Res., 2024)

MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models. - Vanya Cohen; Raymond Mooney (CoRR, 2025)