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Notes on evaluation methodology
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StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows
Researchers have developed StructureClaw, an artifact-centered workbench that uses LLM (Language Model) agents to operate through governed engineering skills and checks for completion, consistency, and execution of…
Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety
The paper introduces institutional red-teaming, a method for evaluating deployment rules in multi-agent AI. The study uses IABench-CA, a consequence-allocation benchmark, to test five canonical rules across seven model…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
