Papers by Souradeep Mukhopadhyay

1 papers
FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments (2026.findings-acl)

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Challenge: Large Language Models are being increasingly deployed as decision-making core of autonomous agents . however, in conversational benchmarks, these agents fail due to the cascading effects of incorrect decision- making .
Approach: They propose a framework that analyzes failure trajectories from baseline agents to identify most prevalent errors.
Outcome: Experiments show that the framework improves performance over open-source LLMs . the framework can be used to build reliable, multi-turn tool-use agents .

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