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Prefix failure in on-policy distillation can be effectively mitigated by correcting problematic prefixes, leading to significant improvements in reasoning coverage and accuracy.
Unleashing pretrained video diffusion models for autonomous driving yields surprisingly strong planning performance, suggesting a new path beyond vision-language models.
Agentic AI's fragility stems from relying on LLMs for system control, but Arbiter-K flips the script by using a deterministic kernel to govern the LLM, achieving up to 95% unsafe action interception.
