SIRIS benchmark: LLMs can't reliably tell when simulator errors invalidate design recommendations
MicrosoftResearch · hf · 2026-11-10
KAIST and Microsoft Research Asia introduce SIRIS, a benchmark testing whether LLM agents can tell when a simulator's modeling limitations invalidate its recommended system designs. In AI-driven systems research, LLMs rely on simulators to evaluate candidate designs at scale, but imperfect simulators can either distort predictions while leaving the recommendation correct, or flip which design should be chosen.
Key findings: identifying a limitation does not ensure the correct design choice, and review-based self-correction yields mixed results—exposing a critical gap in LLM-driven research loops.
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