…Reinforcement Learning Unlocks Parametric Knowledge in LLMs (2026) Step-wise Rubric Rewards for LLM Reasoning (2026) Confidence-Orchestrated Self-Evolution against Uncertain LLM Feedback (2026) Think Through Uncertainty: Improving Long-Form Generation…
…Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems (2026) What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time (2026) Think Through Uncertainty: Improving Long-Form Generation Factuality…
…The editor sees its target failure modes during training instead of chasing a generic uncertainty signal at decode time. the shared-prefix KV caching paired with Alternating Step Decode in the reflective…
…We present TIDE, the first framework for cross-architecture dLLM distillation , comprising three modular components: (1) TIDAL , which jointly modulates distillation strength across training progress and diffusion timestep to account for the…
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