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Mastering Olympiad-Level Physics with Artificial Intelligence
Arxiv
0+阅读 · 2月18日
Near-real-time Solutions for Online String Problems
Arxiv
0+阅读 · 2月17日
Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving
Arxiv
0+阅读 · 2月12日
On Calibration of Large Language Models: From Response To Capability
Arxiv
0+阅读 · 2月14日
Prometheus: Towards Long-Horizon Codebase Navigation for Repository-Level Problem Solving
Arxiv
0+阅读 · 2月7日
Towards Autonomous Mathematics Research
Arxiv
0+阅读 · 2月10日
Towards Autonomous Mathematics Research
Arxiv
0+阅读 · 2月12日
GeoFocus: Blending Efficient Global-to-Local Perception for Multimodal Geometry Problem-Solving
Arxiv
0+阅读 · 2月9日
Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation
Arxiv
0+阅读 · 2月8日
ARCTraj: A Dataset and Benchmark of Human Reasoning Trajectories for Abstract Problem Solving
Arxiv
0+阅读 · 2月15日
Benchmarking Uncertainty Quantification of Plug-and-Play Diffusion Priors for Inverse Problems Solving
Arxiv
0+阅读 · 2月4日
Enhancing Mathematical Problem Solving in LLMs through Execution-Driven Reasoning Augmentation
Arxiv
0+阅读 · 2月3日
Solving Inverse Problems with Flow-based Models via Model Predictive Control
Arxiv
0+阅读 · 1月30日
Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers
Arxiv
0+阅读 · 1月30日
Weak Diffusion Priors Can Still Achieve Strong Inverse-Problem Performance
Arxiv
0+阅读 · 1月30日
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