Author

Sundaraparipurnan Narayanan

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Open access Oct 2026

Verification Debt in Automated Biological Research Workflows: A Proof-of-Concept

Recent biological research has shown significant interest and progress towards adoption of agentic AI systems. Domain specific agentic platforms with access to large collections of biological tools with code generation and/or querying capabilities, such as Biomni (illustrative case in point), are representative of the...

S. Gopalan, Sundaraparipurnan Narayanan · bioRxiv · 0 citations

#artificial intelligence Preprint Sep 2026

Silent Failures in Agent-Tool Interaction: An Audit of ToolUniverse

This study investigates specific failures in agent to tool interaction where a tool invocation appears successful, some or all of the information or functionality from the tool via API/ wrapper is incomplete or missing and there are no communications / notifications to the user or the agent about such missing informati...

S. Gopalan, Devansh Singh, Sundaraparipurnan Narayanan · 1 citation

#natural language process... Preprint Aug 2026

Beyond Accuracy and Surface Fluency: Risk-Sensitive Evaluation of LLMs for Legal Clause Generation

Large language models (LLMs) are increasingly used to draft contractual language, yet conventional accuracy or preference-based evaluations are poorly matched to legal drafting. A clause may be fluent and stylistically polished while still omitting an essential carve-out, allocating risk in an unenforceable way, assumi...

Devansh Singh, Sundaraparipurnan Narayanan · 0 citations