…On top of this harness, On-policy Data Evolution (ODE) runs a closed-loop data generator that refines itself across rounds from rollouts of the policy being trained. This per-round refinement…
…assisted rollouts and error replay. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Speculative decoding accelerates large language model inference by pairing a target model with a lightweight draft model whose proposed…
…a router that decides which model answers, an agent that decides whether to plan, act, verify, or defer, a serving stack that decides how to produce each token, and a training pipeline…
…and lateral heading directions and supervise the model to recover the original expert trajectory. We then fine-tune the full decision--draft--reflect rollout with reinforcement learning (RL), assigning terminal driving reward…
…Existing approaches to such process credit assignment either depend on separate external process reward models that introduce additional consumption, or tree-based structural rollout that merely redistributes the outcome signal while constraining…
…Interactive world models require controllable, causal, and low-latency rollout , which in practice demands a full pipeline spanning data construction, controllable fine-tuning, autoregressive training, few-step distillation, and streaming inference. In…
…George Wu , , Qing Yi , , , , , , , Abstract TMAS is a multi-agent framework for test-time scaling that enhances large language model reasoning through structured collaboration and hierarchical memory systems. AI-generated summary Test…
…guides a student without it, both from the same model. While this guidance is useful when the student has failed, on successful rollouts, the same mechanism instead overwrites the student's choices…
…Real-time Autoregressive Video Extrapolation with Consistency-model GRPO Published on May 14 Submitted by Yanzuo Lu on May 15 MVP Lab Authors: Yanzuo Lu , , Abstract RAVEN enables real-time video generation…
…AI-generated summary Reinforcement Learning with Verifiable Rewards (RLVR) has achieved great success in developing Large Language Models ( LLMs ) with chain-of-thought rollouts for many tasks such as math and coding…