整体结果:OlympiadBench比现有基准测试更具挑战性,最先进的模型在OlympiadBench上的平均准确率为17.97%,远低于现有基准测试的结果。模型之间的性能差距扩大,有助于更准确地比较不同模型的能力。 模型差异:最强大的闭源模型与开源模型之间仍存在巨大差异,但需要更大的模型规模。GPT-4V的平均准确率是表现最好的开源模型的...
We introduce OlympiadBench, an Olympiad-level bilingual multimodal scientific benchmark. Notably, the best-performing model, GPT-4V, attains an average score of 17.23% on OlympiadBench, with a mere 11.28% in physics, highlighting the benchmark rigor and the intricacy of physical reasoning. Data ...
QVQ-72B-Preview 在各项基准测试中取得了卓越的表现。它在多模态大规模多任务理解(MMMU)基准测试中取得了70.3%的显著成绩,展示了QVQ在跨学科理解和推理方面的强大能力。此外,在MathVision上的重大改进突显了该模型在数学推理任务上的进展。OlympiadBench也证明了该模型在处理具有挑战性问题方面的能力得到了提升。
Adds support for OlympiadBenchMath (en). Current results: Qwen2.5-Math-7B-Instructresult from thepaper: 41.6 . I'm guessing the slight discrepancy is due to different user instruction template ( ingenerate_prompt) . TODO: Verify string parsing (currently uses the same parsing as MATH following...
Benchmarking of CEFR with different language measurement systems: English Program Information Preliminary Round National Finals Regional Qualifiers Global Finals Hippo English OlympiadPreliminary Round Registration information Participants:Students aged 6-19 (must have an ID from China or another non-native En...
The test benchmark includes official IMO problems from 2000 to the present that can be represented in the geometry environment used in our work. Human performance is estimated by rescaling their IMO contest scores between 0 and 7 to between 0 and 1, to match the binary outcome of failure/suc...
(without proof) where the hardest statements are similar to the benchmark we target. Initially our neural prover is weak and can only prove a few of them. We iteratively search for new proofs and re-train our neural network on the newly discovered proofs, and after 8 iterations, our ...
However, existing benchmarks like GSM8K or MATH are now being solved with high accuracy (e.g., OpenAI o1 achieves 94.8\% on MATH dataset), indicating their inadequacy for truly challenging these models. To bridge this gap, we propose a comprehensive and challenging benchmark specifically ...
However, existing benchmarks like GSM8K or MATH are now being solved with high accuracy (e.g., OpenAI o1 achieves 94.8\% on MATH dataset), indicating their inadequacy for truly challenging these models. To bridge this gap, we propose a comprehensive and challenging benchmark specifically ...
Yet the Olympiad also evinces a striking historical paradox: this benchmark of ancient calendar reckoning has emerged, in our time-sensitive age, as a source of both chronological and semantic confusion, fragmenting into contextual strands bearing little relation to time cycles, the Olympic Games ...