ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings
Recent advances in continuous diffusion and flow-based language models (LMs) have achieved performance competitive wi...
每天自动聚合 AI 领域最新动态
Recent advances in continuous diffusion and flow-based language models (LMs) have achieved performance competitive wi...
Language models are sequential processors, but long-horizon agency requires external information and computation beyo...
Ballistocardiography (BCG) is promising for unobtrusive long-term blood pressure (BP) monitoring in laboratory settin...
Road traffic injuries remain a major challenge in low- and middle-income countries, where proactive road safety audit...
Modern software systems accumulate technical debt over decades of development, which makes migration expensive and la...
An interactive world model must follow the user's actions, remember the places it has shown, and stream in real time....
Group-based reinforcement learning methods such as GRPO for large language models avoid training a critic by sampling...
On-policy distillation (OPD) has emerged as an effective framework for post-training language models by pairing stude...
Language models are sequential processors, but long-horizon agency requires external information and computation beyo...
An interactive world model must follow the user's actions, remember the places it has shown, and stream in real time....
Existing image editing frameworks predominantly follow the training paradigm of text-to-image diffusion models. Howev...
Recent large language models (LLMs) can operate as coding agents that build complete games from natural language requ...