We have 3 of 14 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
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...
This work proposes test-time adaptation through human-agent interaction (TAHI), which integrates these signals into agent context and weights, and crystallizes each user's training and evaluation criteria via an evolving rubric module.
This work creates a framework that maps agent failure modes to harness adaptation strategies, and builds a harness optimizer that automatically discovers effective adaptations from failure trajectories, suggesting that harness adaptation can expand the practical deployment range of SLM agents in routine business tasks.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
