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# SciBench
**SciBench** is a novel benchmark for college-level scientific problems sourced from instructional textbooks. The benchmark is designed to evaluate the complex reasoning capabilities,
strong domain knowledge, and advanced calculation skills of LLMs.
Please refer to our [paper](https://arxiv.org/abs/2307.10635) or [website](https://scibench-ucla.github.io) for full description: SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
.
## Citation
If you find our paper useful, please cite our paper
```
@inproceedings{wang2024scibench,
author = {Wang, Xiaoxuan and Hu, Ziniu and Lu, Pan and Zhu, Yanqiao and Zhang, Jieyu and Subramaniam, Satyen and Loomba, Arjun R. and Zhang, Shichang and Sun, Yizhou and Wang, Wei},
title = {{SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models}},
booktitle = {Proceedings of the Forty-First International Conference on Machine Learning},
year = {2024},
}
```
---
license: mit
---
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