Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models. - Som Sagar; Aditya Taparia; Ransalu Senanayake (ICML, 2024)

Explainable Concept Generation through Vision-Language Preference Learning. - Aditya Taparia; Som Sagar; Ransalu Senanayake (CoRR, 2024)

Trustworthy Conceptual Explanations for Neural Networks in Robot Decision-Making. - Som Sagar; Aditya Taparia; Harsh Mankodiya; Pranav Bidare; Yifan Zhou; Ransalu Senanayake (CoRR, 2024)

LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded". - Som Sagar; Aditya Taparia; Ransalu Senanayake (CoRR, 2024)

ExpressivityArena: Can LLMs Express Information Implicitly? - Joshua Tint; Som Sagar; Aditya Taparia; Kelly Raines; Bimsara Pathiraja; Caleb Liu; Ransalu Senanayake (CoRR, 2024)

RoboFail: Analyzing Failures in Robot Learning Policies. - Som Sagar; Ransalu Senanayake (CoRR, 2024)

Strategic Vantage Selection for Learning Viewpoint-Agnostic Manipulation Policies. - Sreevishakh Vasudevan; Som Sagar; Ransalu Senanayake (CoRR, 2025)

PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies? - Atharva Gundawar; Som Sagar; Ransalu Senanayake (CoRR, 2025)