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New ScienceArena benchmark tests LLMs on Olympiad-level science problems

Researchers have developed ScienceArena, a new benchmark designed to evaluate the scientific reasoning capabilities of large language models (LLMs). This benchmark draws from recent competitions in physics, chemistry, and biology, including the International Physics Olympiad and International Chemistry Olympiad. ScienceArena utilizes a process-credit rubric system and has been digitized and verified by experts and olympiad medalists to ensure accuracy. Initial evaluations of fourteen LLMs show that while top models achieve medal-equivalent scores on some exams, challenges persist in chemistry and maintaining consistency over long problem-solving sequences. AI

IMPACT This benchmark could drive improvements in LLM scientific reasoning and problem-solving abilities.

RANK_REASON The cluster contains a research paper introducing a new benchmark for evaluating LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ScienceArena benchmark tests LLMs on Olympiad-level science problems

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The cluster contains a research paper introducing a new benchmark for evaluating LLMs. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Guangxiang Zhao, Qilong Shi, Xusen Xiao, Wenpu Liu, Yaoming Li, Linfeng Hao, Shuyang Hou, Zijian Guo, Xinrui Zhang, Yuntian Zhao, Zhengyang Wang, Wenrui Liu, Yuhan Wu, Tong Yang, Lin Sun, Xiangzheng Zhang ·

    ScienceArena: Benchmarking LLMs on Latest Scientific Olympiad Competitions

    arXiv:2608.30517v1 Announce Type: new Abstract: Benchmark saturation and data contamination increasingly obscure genuine scientific reasoning in frontier LLMs. We introduce \textsc{ScienceArena}, an olympiad-style benchmark from thirteen public science competitions in physics, ch…