Author

Abhishek Kumar Singh

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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. · arXiv.org · 0 citations