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 or website 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},
}