每天自动聚合 AI 领域最新动态
Score- and flow-matching models often rely on preference-based reinforcement learning for two purposes: aligning with...
Creative image editing tools, such as Photoshop's Remove or Generative Fill buttons, are central to everyday customer...
Offline reinforcement learning is typically analyzed under process-level reward supervision, yet many sequential deci...
Robotic systems perceive the world through multiple input modalities -- including visual camera streams and natural l...
Despite growing interest, most evaluations of large language models' (LLMs') personalization abilities have relied on...
Test-time scaling via sequential revision has emerged as a powerful paradigm for enhancing Large Language Model (LLM)...
We propose MAST (Mechanism-Aligned Selective Targeting), a mechanism-guided method for unlearning RLVR-induced reason...
Reinforcement Learning with Verifiable Rewards algorithms like GRPO have emerged as the dominant post-training paradi...
Artificial intelligence (AI) agents promise to accelerate drug discovery by compressing interpretation and decision-m...
Family members caring for individuals with Alzheimer's disease and related dementias (AD/ADRD) provide the foundation...
Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific...
Automatically generating slide decks from source documents is an important application of large language models (LLMs...