Author

Lior Limonad

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#artificial intelligence Preprint Apr 2026

Semantic Feature Analysis: Improving Agents Without Searching Over Rollouts

Semantic Feature Analysis is presented, a pipeline that repairs agent specifications without running any search, and consistently improves over the unmodified agent across benchmarks and budget levels, with the largest gains where rollouts are most expensive.

Yuval David, Fabiana Fournier, Lior Limonad et al. · 0 citations

#software testing Book Jul 2026

Using Process Mining to Generate AI Agents from Software Engineering Process Records

This work uses event logs extracted from software repositories to discover project-specific agent roles using a predefined SE role vocabulary grounded in repository behavior and generates matching agent specifications and implementations that are aligned with human expectations.

Saimir Bala, Fabiana Fournier, Lior Limonad et al. · Lecture notes in business in... · 0 citations