arXiv:2605.05499v1 Announce Type: new Abstract: The widespread adoption of camera-equipped mobile devices and wearables has enabled convenient capture of meal images, making food recognition a key component for real…
arXiv:2605.05546v1 Announce Type: new Abstract: Self-play reinforcement learning has shown strong performance in domains with formally verifiable structure, such as mathematics and coding, where both problem generation…
arXiv:2605.05736v1 Announce Type: new Abstract: Vector quantization (VQ) with autoregressive (AR) token modeling is a widely adopted and highly competitive paradigm for time-series generation. However, such models are…
arXiv:2605.05228v1 Announce Type: new Abstract: Deep learning models are the most efficient models in many machine learning tasks. The main disadvantage when using them in IoT, mobile devices, independent autonomous or…
arXiv:2605.05354v1 Announce Type: new Abstract: Service level agreements (SLAs) in data center colocation contracts define precise thresholds for power, temperature, and humidity, with tiered violation penalties…
This paper proposes segment-aligned policy optimization, a reinforcement-learning formulation that matches training updates to reasoning steps rather than tokens or full responses. It could improve credit assignment and…
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