…learning improves large language model recall of parametric knowledge by redistributing probability mass toward correct answers, with gains driven primarily by reinforcing rare but learnable examples. AI-generated summary Reinforcement learning (RL…
…Starting from a pretrained VLA policy, LWD closes the loop between deployment, shared physical experience, policy improvement , and redeployment by using autonomous rollouts and human interventions collected across a robot fleet. To…
…multi-shot video generation by addressing limitations of autoregressive models through causal modeling, dynamic memory routing, and real-time distillation techniques. AI-generated summary Autoregressive video generation aims at real-time, open…
…AI-generated summary End-to-end autonomous driving via Vision-Language-Action (VLA) models demands a precarious balance between high-fidelity trajectory planning and efficient inference. Existing paradigms typically fall short: autoregressive…
…Yuxiang Ji , , , , , , , , Abstract Agentic reinforcement learning for large language models leverages action data from human interactions as reference guidance to improve exploration and reduce dependence on costly supervised fine-tuning. AI-generated…
…An Advanced World Action Model for Robot Control (2026) Learning Human-Intention Priors from Large-Scale Human Demonstrations for Robotic Manipulation (2026) Being-H0.7: A Latent World-Action Model from Egocentric…
…learning and backward simulation techniques. AI-generated summary Few-step video generation has been significantly advanced by consistency distillation . However, the performance of consistency-distilled models often degrades as more sampling steps…
…Quanhao Li , , , , , , , , , Abstract DiffusionOPD enables efficient multi-task training for diffusion models through online policy distillation, outperforming existing reinforcement learning approaches in both training efficiency and final performance. AI-generated summary Reinforcement…
…This is more than conventional AI development, it is AI evolution in action. This is an automated message from the Librarian Bot . I found the following papers similar to this paper. The…
…and ranking in a single autoregressive model using factorized group-relative policy optimization to address credit assignment challenges in end-to-end retrieval optimization. AI-generated summary Traditional retrieval pipelines optimize utility…