| --- |
| language: |
| - en |
| license: apache-2.0 |
| size_categories: |
| - n=520 |
| task_categories: |
| - question-answering |
| - text-generation |
| pretty_name: CMPhysBench |
| tags: |
| - Condensed Matter Physics |
| - physics |
| - benchmark |
| --- |
| |
| > **Bud Ecosystem mirror** of [`weidawang/CMPhysBench`](https://huggingface.co/datasets/weidawang/CMPhysBench) — a verbatim copy for offline, reproducible model evaluation. License **unchanged (Apache-2.0)**; all rights remain with the original authors. |
|
|
| # CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics |
|
|
| > 🎉🎉🎉 This paper is accpeted by ICLR 2026. |
|
|
| [](https://arxiv.org/abs/2508.18124) [](https://github.com/CMPhysBench/CMPhysBench) [](https://huggingface.co/datasets/weidawang/CMPhysBench) [](https://github.com/CMPhysBench/CMPhysBench/blob/main/LICENSE) |
|
|
| We introduce **CMPhysBench**, designed to assess the proficiency of Large Language Models (LLMs) in **C**ondensed **M**atter **Phys**ics, as a novel **Bench**mark. CMPhysBench is composed of more than 520 graduate-level meticulously curated questions covering both representative subfields and foundational theoretical frameworks of condensed matter physics, such as magnetism, superconductivity, strongly correlated systems, etc. To ensure a deep understanding of the problem-solving process,we focus exclusively on calculation problems, requiring LLMs to independently generate comprehensive solutions. Meanwhile, leveraging tree-based representations of expressions, we introduce the Scalable Expression Edit Distance (SEED) score, which provides fine-grained (non-binary) partial credit and yields a more accurate assessment of similarity between prediction and ground-truth. Our results show that even the best models, Grok-4, reach only 36 average SEED score and 28% accuracy on CMPhysBench, underscoring a significant capability gap, especially for this practical and frontier domain relative to traditional physics. |
|
|
| <div align="center"> |
| <img src="https://raw.githubusercontent.com/CMPhysBench/CMPhysBench/main/imgs/CMPhysBench.png" width="1000"/> |
| </div> |
|
|
|
|
| ## Citations |
|
|
| ```bibtex |
| @article{wang2025cmphysbench, |
| title={CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics}, |
| author={Wang, Weida and Huang, Dongchen and Li, Jiatong and Yang, Tengchao and Zheng, Ziyang and Zhang, Di and Han, Dong and Chen, Benteng and Luo, Binzhao and Liu, Zhiyu and others}, |
| journal={arXiv preprint arXiv:2508.18124}, |
| year={2025} |
| } |
| ``` |
