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Subhash Bangalore Satheesha

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Preprint Aug 2026

RLMOpt: Adaptive Prompt Optimization via Recursive Language Models

RLMOpt is introduced, a prompt optimizer that makes the search policy itself language-model-driven through a recursive language model (RLM), which operates over a tool-based environment, inspecting task information, analyzing failures, generating candidates, allocating evaluation budget, and deciding when to stop.

Subhash Bangalore Satheesha, Nirvik Pande, Deepthi Duddempudi et al. · 0 citations