Som Sagar

According to our database, Som Sagar authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Learning to Configure Agentic AI Systems.

Aditya Taparia, Som Sagar, Ransalu Senanayake

CoRR, February, 2026

ExpressivityBench: Can LLMs Communicate Implicitly?

Joshua Tint, Som Sagar, Aditya Taparia, Kelly Raines, Bimsara Pathiraja, Caleb Liu, Ransalu Senanayake

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Strategic Vantage Selection for Learning Viewpoint-Agnostic Manipulation Policies.

Sreevishakh Vasudevan, Som Sagar, Ransalu Senanayake

CoRR, June, 2025

PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?

Atharva Gundawar, Som Sagar, Ransalu Senanayake

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

BaTCAVe: Trustworthy Explanations for Robot Behaviors.

Som Sagar, Aditya Taparia, Harsh Mankodiya, Pranav Bidare, Yifan Zhou, Ransalu Senanayake

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations.

Aditya Taparia, Som Sagar, Ransalu Senanayake

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

RoboFail: Analyzing Failures in Robot Learning Policies.

Som Sagar, 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

LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded".

Som Sagar, Aditya Taparia, 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

Explainable Concept Generation through Vision-Language Preference Learning.

Aditya Taparia, Som Sagar, Ransalu Senanayake

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024