Create README.md

README.md

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+---
+license: mit
+language:
+- en
+tags:
+- physics
+- cmt
+pretty_name: CMT Benchmark
+---
+# CMT-Benchmark
+
+**CMT-Benchmark** is a specialized dataset of 50 original, research-level problems in Condensed Matter Theory (CMT) designed to evaluate the scientific reasoning, analytical, and computational capabilities of Large Language Models (LLMs).
+
+## Details
+### Authors
+Haining Pan, James V. Roggeveen, Erez Berg, Juan Carrasquilla, Debanjan Chowdhury, Surya Ganguli, Federico Ghimenti, Juraj Hasik, Henry Hunt, Hong-Chen Jiang, Mason Kamb, Ying-Jer Kao, Ehsan Khatami, Michael J. Lawler, Di Luo, Titus Neupert, Xiaoliang Qi, Michael P. Brenner, Eun-Ah Kim
+
+### Description
+
+Unlike traditional textbook-based benchmarks, CMT-Benchmark consists of bespoke problems authored by a panel of experts. The problems are designed to test if an AI can function as a scientific research assistant, requiring the synthesis of material knowledge with theoretical principles. The dataset covers seven major computational and theoretical methods including Hartree-Fock, Exact Diagonalization, and Quantum Monte Carlo.
+
+* **Funded by:** NSF (Awards 2433348, OAC-2118310, DMR-2237522), US-ONR, Swiss National Science Foundation, NTT Research, and the U.S. Department of Energy.
+* **Language:** English.
+
+### Sources
+
+* **Dataset:** [Hugging Face Repository](https://huggingface.co/datasets/AnonBenchmark322/benchmark_data).
+* **Evaluation Code:** [Github Repository](https://github.com/JamesRoggeveen/cmt_benchmark_data)
+* **Paper:** [CMT-BENCHMARK: A BENCHMARK FOR CONDENSED MATTER THEORY BUILT BY EXPERT RESEARCHERS](https://arxiv.org/abs/2510.05228).
+
+## Structure
+
+The dataset contains 50 problems categorized by theoretical/computational methods:
+
+* **Exact Diagonalization (ED):** 16% (8 problems).
+* **Statistical Mechanics (SM):** 12% (6 problems).
+* **Quantum Monte Carlo (QMC):** 12% (6 problems).
+* **Hartree-Fock (HF):** 10% (5 problems).
+* **DMRG:** 8% (4 problems).
+* **PEPS:** 6% (3 problems).
+* **Variational Monte Carlo (VMC):** 4% (2 problems).
+* **Other:** 32% (16 problems).
+
+## Creation
+Problems were authored in a collaborative Google Sheet environment using a custom-built extension. Authors iteratively refined problems to identify gaps in LLM reasoning.
+* **Technical Note on Infrastructure**: The custom Google Sheet integration and the LaTeX-to-Sympy parsing infrastructure used for automated grading are described in further detail in [Roggeveen et al. (2025)]( 	
+https://doi.org/10.48550/arXiv.2505.11774).
+
+## Model Performance Summary
+
+The following table summarizes the Overall Pass@1 rates (%) as reported in the paper.
+
+| Model | Overall |
+| --- | --- |
+| GPT-4o | 2.0 |
+| GPT-4.1 | 4.0 |
+| GPT-5 | 30.0 |
+| GPT-5-mini | 24.0 |
+| GPT-5-nano | 14.0 |
+| GPT-o3 | 26.0 |
+| GPT-o4-mini | 18.0 |
+| Gemini 2.0 Flash | 10.0 |
+| Gemini 2.5 Flash | 4.0 |
+| Gemini 2.5 Pro | 14.0 |
+| Claude 3.7 Sonnet | 6.0 |
+| Claude 4.1 Sonnet | 2.0 |
+| Claude 4.0 Sonnet | 6.0 |
+| Claude 4.1 Opus | 8.0 |
+| Claude 4.0 Opus | 10.0 |
+| DeepSeek v3 | 4.0 |
+| LLaMA Maverick | 12.0 |
+
+## Citation
+
+**BibTeX:**
+
+```bibtex
+@misc{https://doi.org/10.48550/arxiv.2510.05228,
+  doi = {10.48550/ARXIV.2510.05228},
+  url = {https://arxiv.org/abs/2510.05228},
+  author = {Pan,  Haining and Roggeveen,  James V. and Berg,  Erez and Carrasquilla,  Juan and Chowdhury,  Debanjan and Ganguli,  Surya and Ghimenti,  Federico and Hasik,  Juraj and Hunt,  Henry and Jiang,  Hong-Chen and Kamb,  Mason and Kao,  Ying-Jer and Khatami,  Ehsan and Lawler,  Michael J. and Luo,  Di and Neupert,  Titus and Qi,  Xiaoliang and Brenner,  Michael P. and Kim,  Eun-Ah},
+  keywords = {Machine Learning (cs.LG),  Artificial Intelligence (cs.AI),  FOS: Computer and information sciences,  FOS: Computer and information sciences},
+  title = {CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers},
+  publisher = {arXiv},
+  year = {2025},
+  copyright = {Creative Commons Zero v1.0 Universal}
+}
+```