ITMO-NSS/ChemPaperBench

ChemPaperBench ChemPaperBench is an AI-ready benchmark designed to evaluate how well LLMs and multi-agent systems perform literature-grounded, multi-step reasoning in chemistry. It features 376 expert-validated questions derived from real scientific publications across 9 chemical sub-disciplines, annotated with contextual evidence (text, images, tables) and complexity levels. Includes evaluation results for GPT-5, Gemini 2.5 Pro, DeepSeek-V3.1-Terminus, Llama 4 Maverick… See the full description on the dataset page: https://huggingface.co/datasets/ITMO-NSS/ChemPaperBench.

<iframe src="https://silytics.si/embed/item/3fba92b1-0893-425c-8f2a-f0f459be3be3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.