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Author

Bhavya Shah

2 papers indexed here

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Conference Jul 2026

Recursive Self-Improving LLM Agents with Meta-Cognitive Feedback Loops

Even though AI is getting better quickly, Large Language Models (LLMs) are still very good at multi-step reasoning and structured problem solving. However, their performance during inference often relies heavily on initial prompts and set strategies. When outputs are not ideal, fixing them usually requires outside help...

Shreyas Kushwaha, Bhavya Shah, Y. Chauhan et al. · 0 citations
Review Open access Aug 2026

Defensive Reverse Engineering of LLM Applications: A Black-Box Framework for Security Risk Scoring and Mitigation

D-RELLM is presented, a defensive reverse-engineering framework for black-box security assessment of deployed LLM applications that treats the deployed application as a socio-technical system whose risk depends on instruction hierarchy, retrieval trust, authorization, tool agency, output handling, monitoring, and opera...

Bhavesh B. Prajapati, Bhavya Shah · 0 citations

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