…AI-generated summary On-policy distillation (OPD) is a powerful paradigm for model alignment , yet its reliance on teacher logits restricts its application to white-box scenarios. We contend that structured semantic…
…AI-generated summary Reinforcement learning with verifiable rewards, particularly Group Relative Policy Optimization (GRPO), has significantly advanced the reasoning capabilities of Large Language Models (LLMs). However, in complex tasks, GRPO frequently suffers…
…AI-generated summary Real-time interactive video generation requires low-latency, streaming, and controllable rollout. Existing autoregressive (AR) diffusion distillation methods have achieved strong results in the chunk-wise 4-step regime…
…Physical AI isn't compute-poor, it's runtime-poor. A robot serves one token at a time, not a crowd. A $0.30/hr L4 runs a 7B model cheaper per…
…AI-generated summary Deep search has become a crucial capability for frontier multimodal agents, enabling models to solve complex questions through active search, evidence verification, and multi-step reasoning. Despite rapid progress…
…AI-generated summary Agentic modeling aims to transform LLMs into autonomous agents capable of solving complex tasks through planning , reasoning , tool use , and multi-turn interaction with environments. Despite major investment, open…
…AI-generated summary Hidden malicious intent in multi-turn dialogue poses a growing threat to deployed large language models (LLMs). Rather than exposing a harmful objective in a single prompt, increasingly capable…
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