…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…
aws.amazon.com …It has seen innumerable improvements since then, including support for more languages , while also being upgraded to run on the Gemini 3 model earlier this year. In February, Gmail teased upgrades to…
…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…
…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…
…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…
…Furthermore, it estimates an adaptive per-problem target length online based on the model's own correct rollouts, applying a symmetric efficiency reward that penalizes both overthinking and over-compression. Evaluated on…
…with a new model, Muse Spark, and a centralized Superintelligence Labs unit. It’s designed to be fast, handle complex reasoning, and run multiple AI agents at once. Rollout will be gradual…
…sparse sequence-level reward should train models where exploration is productive, while dense token-level teacher reward should be used where the aim is to compress behavior into a smaller model. In…
…For each condition, S GRPO samples a supergroup of candidate sets, compares their diversity under the same condition, and redistributes the group diversity reward to individual rollouts through leave-one-out diversity…
