2024

OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

He, Chaoqun, Luo, Renjie, Bai, Yuzhuo et al.

Understand

Recent advancements have seen Large Language Models (LLMs) and Large Multimodal Models (LMMs) surpassing general human capabilities in various tasks, approaching the proficiency level of human experts across multiple domains.

  • With traditional benchmarks becoming less challenging for these models, new rigorous challenges are essential to gauge their advanced abilities.
  • In this work, we present OlympiadBench, an Olympiad-level bilingual multimodal scientific benchmark, featuring 8,476 problems from Olympiad-level mathematics and physics competitions, including the Chinese college entrance exam.
  • Each problem is detailed with expert-level annotations for step-by-step reasoning.

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