In the groundbreaking paper, OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems, the authors introduce OlympiadBench. This benchmark features nearly 9,000 problems from Olympiad-level competitions in a bilingual format to rigorously test and evaluate the abilities of top-tier models like GPT. Demonstrating the challenge, GPT-4V only achieved an average score of 17.23%, showcasing the models’ struggles with complex problem-solving and logical reasoning.

• OlympiadBench offers a novel way to measure a model’s problem-solving proficiency.
• GPT-4V’s performance reflects the benchmark’s difficulty and the complexity of physical reasoning.
• The benchmark identifies issues with model hallucinations and logical inconsistencies.
• A call to elevate AGI benchmarks in line with human expert levels.

OlympiadBench sets a new high bar for AGI competence, offering a clear trajectory for future research aimed at achieving and surpassing human-level problem-solving skills. The paper’s insights are an essential contribution to the field, pointing out limitations and paving the way for further development.