机器学习
47 篇 · 资讯流KernelOPT: Dispatch-Aware Agentic Search for GPU Kernel Optimization
Deep learning inference and training performance depends critically on GPU kernel efficiency. Modern compilers such as P
原文 ↗WeightBridge: An Efficient Weight Transfer Library for Reinforcement Learning
Weight transfer - the propagation of updated parameters from trainers to rollout generators - is becoming an important p
原文 ↗D-JEPA: A Decision-Aligned Latent World Model
Latent world models predict the consequences of actions, but accurate prediction does not guarantee that latent distance
原文 ↗Fathom-Vaidya: Advancing Medical Reasoning with Rubric-Based Rewards
Deploying Large Language Models (LLMs) in healthcare requires robust performance across two complementary dimensions - d
原文 ↗Parallelism, critical windows, and separations among diffusion language models
A popular selling point of diffusion large language models (dLLMs) is their capacity for parallelism: the ability to gen
原文 ↗The Life of a Token: from Words to Bits on the Wire
Large Language Models (LLMs) transform vast collections of unstructured text into semantic patterns used for language ge
原文 ↗ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference
Long-context LLM inference is bottlenecked by attention, whose repeated KV-cache reads make decoding memory-bound. Self-
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