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Paper · arXiv

Adaptive-GEPA: Make Your Harness Fit Heterogeneous Requests

Reflective optimizers such as GEPA improve language model prompts from execution traces and evaluator feedback; full-program extensions can also rewrite tools and control flow. In practice, a user hands the same endpoint heterogeneous requests whose effective solutions require different tools, reasoning modes, and control flow. Optimizing one shared program leaves this division of work implicit in source-code search, while optimizing a separate program per request family fixes it beforehand. We introduce Adaptive-GEPA, which learns both how to divide requests and how to solve them. It evolves a router and a library of specialist programs under one search budget. The router's instructions,...

AuthorsTianyu Chen, Yasi Zhang, Ruiyi Wang et al.
Primary categorycs.SE
Published30 September 2026
Last updated at source30 September 2026
cs.SEcs.AI
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