…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…
…Time to rebel 🧑🎓⚡ So far in LLM post-training, on-policy self-distillation pulls the student toward the teacher (the same model, but one that has seen a correct solution). But…
…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…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Inference-time scaling has emerged as a critical avenue for enhancing Large Language Models ' performance, yet real-world deployment is constrained by strict computational…
…A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation (2026) Long-Term Memory for VLA-based Agents in Open-World Task Execution (2026) Please give a thumbs up to…
…Instead of materializing each policy as a merged full checkpoint , MinT keeps the base model resident and moves exported LoRA adapter revisions through rollout, update, export, evaluation, serving , and rollback, hiding distributed…
…This motivates treating teacher exposure not as a fixed hyperparameter but as a learnable training-time control variable. We therefore propose Adaptive Teacher Exposure for Self-Distillation (ATESD). ATESD models the reveal…
…Across three model families and multiple factual QA benchmarks, RL yields ~27% average relative gains, surpassing both training- and inference-time baselines alike. Mechanistically, RL primarily redistributes probability mass over existing knowledge…
…Finally, we propose a low-overhead test-time scaling scheme: by forking N stochastic trajectory rollouts from a single shared-prefix KV cache and averaging them, we effectively suppress prediction variance at…
…low-resource mathematical reasoning across model sizes and substantially outperforms Group Relative Policy Optimization (GRPO). Further analyses show that COPSD improves answer-format adherence, strengthens test-time scaling , and generalizes to harder…