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Ming-Yuan Zhou

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#artificial intelligence Preprint Sep 2026

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 cont...

Tian-Yu Chen, Yasi Zhang, Rui-Yi Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Learning to Route in Visual Space via Multi-Step Embedding Retrieval

LLM agents rely on retrieval tools to access external knowledge, yet visual agentic search remains severely bottlenecked by standard single-step retrievers. In current pipelines, the agent must issue text queries for every intermediate step, struggling when visual clues are difficult to describe or when the retriever f...

Tian-Yu Chen, Ming-Yuan Zhou, Jia-Xing Wu · 0 citations