ThermoQA LLM Thermodynamic Benchmark Launch
💡New benchmark proves top LLMs falter on thermo reasoning—evaluate yours!
⚡ 30-Second TL;DR
What Changed
293 problems across three tiers: 110 property lookups, 101 component analysis, 82 full cycles.
Why It Matters
ThermoQA exposes LLM weaknesses in scientific reasoning, guiding targeted improvements for engineering tasks. It quantifies consistency via multi-run sigmas, advancing reliable evaluation methods.
What To Do Next
Download ThermoQA dataset from Hugging Face and benchmark your LLM on thermodynamic reasoning.
Key Points
- •293 problems across three tiers: 110 property lookups, 101 component analysis, 82 full cycles.
- •Ground truth via CoolProp 7.2.0 for water, R-134a, variable-cp air.
- •Leaderboard: Claude Opus 94.1%, GPT-5.4 93.1%, Gemini 3.1 Pro 92.5%.
- •Cross-tier degradation up to 32.5pp proves memorization ≠ reasoning.
- •Open-source dataset/code at huggingface.co/datasets/olivenet/thermoqa
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