新数据集揭示基础模型在牛顿物理学方面存在困难

报道来源 [4]

1. Hugging Face Daily Papers TIER_1 English(EN) · 2026-06-02 17:59

   NewtPhys：基础模型理解牛顿物理学吗？

   Previous work has evaluated physics reasoning in foundation models using synthetic or semi-synthetic scenes and visual question-answering tasks. However, these benchmarks emphasize high-level events and lack the visual fidelity required to assess true low-level Newtonian understa…

2. arXiv cs.CV TIER_1 English(EN) · Sebastian Cavada, Soumava Paul, Tuan-Hung Vu, Andrei Bursuc, Raoul de Charette · 2026-06-03 04:00

   NewtPhys：基础模型理解牛顿物理学吗？

   arXiv:2606.03986v1 Announce Type: new Abstract: Previous work has evaluated physics reasoning in foundation models using synthetic or semi-synthetic scenes and visual question-answering tasks. However, these benchmarks emphasize high-level events and lack the visual fidelity requ…

3. arXiv cs.CV TIER_1 English(EN) · Raoul de Charette · 2026-06-02 17:59

   NewtPhys：基础模型理解牛顿物理学吗？

   Previous work has evaluated physics reasoning in foundation models using synthetic or semi-synthetic scenes and visual question-answering tasks. However, these benchmarks emphasize high-level events and lack the visual fidelity required to assess true low-level Newtonian understa…

4. arXiv stat.ML TIER_1 English(EN) · Florian Wiesner, Zo\"e J. Gray, Matthias Wessling, Stephen Baek · 2026-06-02 04:00

   迈向物理学基础模型

   arXiv:2509.13805v4 Announce Type: replace-cross Abstract: Foundation models have revolutionized natural language processing through a ``train once, deploy anywhere'' paradigm, where a single pre-trained model adapts to countless downstream tasks without retraining. Access to a Ph…