Author

Baran Nama

h-index 2 View on Semantic Scholar

We have 2 of 2 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.

#artificial intelligence Review Oct 2026

EvoSkill v2: Fully Agentic Skill Evolution from Benchmark Adaptation to a Stateful Evolver

EvoSkill v2 is a three-agent system that edits the instructions (skills) an agent is given, leaving its model and harness intact. The user starts a run by describing a benchmark and supplying a grader, which a benchmark adaptor turns into a benchmark-specific plugin. A solver attempts the tasks, and an evolver reads th...

Da-Wei Huang, Baran Nama, Salaheddin Alzubi · 0 citations

Jul 2026

The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents

This work finds that reliability depends more on grounding and verification than on procedural skill choice, and finds that reliability depends more on grounding and verification than on procedural skill choice.

Darshan Tank, Baran Nama · arXiv.org · 0 citations