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S. Nag

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#artificial intelligence Preprint Sep 2026

AgentAudit: An Open, Extensible Framework for Full-Lifecycle Trust Evaluation of AI Agents

Existing evaluation frameworks mostly assess only one part of AI agents, such as task completion (AgentBench) or security robustness (AgentDojo, ASB), rather than the complete pipeline of planning, tool selection, tool execution, memory and reasoning. Failures can occur at any stage, yet existing benchmarks rarely iden...

S. Nag, Sachita, Abhishek Kumar Singh et al. · 0 citations
Jul 2026

Inspect India Evals: An Open Benchmarking Framework for Evaluating Large Language Models in the Indian Linguistic and Cultural Context

Inspect India Evals is an open-source framework built on top of UK AISI's Inspect AI platform that has six benchmarks: Multilingual MMLU across sixteen Indian languages, BharatBBQ, a safety evaluation for Digital Public Infrastructure, a multilingual safety test using harmful prompts in Indian languages, a multi-turn j...

Abhishek Kumar Singh, S. Nag, Sachita et al. · 0 citations
Jul 2026

A Decade of Hereditary Cancer Genetic Testing Results in Asian Indian population: Retrospective Study.

This retrospective study showcases the largest comprehensive characterization of the hereditary cancer genetics in India and South Asian region till date, demonstrating a substantial burden of inherited cancer susceptibility and distinct gene-cancer associations across major tumor types.

R. Menon, L. Mahadevan, A. Dineshkumar et al. · 0 citations

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