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All SourcesarXiv
#inference-time alignment

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening

Intermediate
Xiaotong Ji, Rasul Tutunov et al.Jan 29arXiv

The paper shows a fast, training-free way to boost an LLM’s step-by-step reasoning by smartly reusing the model’s own probabilities.

#power distribution sampling#distribution sharpening#low-temperature sampling

Inference-time Physics Alignment of Video Generative Models with Latent World Models

Intermediate
Jianhao Yuan, Xiaofeng Zhang et al.Jan 15arXiv

This paper teaches video-making AIs to follow real-world physics better without retraining them.

#video generation#physics plausibility#latent world model