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MISA-T boosts rollout throughput by over 53% while preserving workload integrity, revolutionizing how RL pipelines manage heterogeneous demands.
VCM reshapes LLM output distributions to enhance diversity and coherence, effectively breaking the cycle of repetitive degeneration in text generation.
Forget specialized architectures: StepAudio 2.5 proves a single audio-language foundation, shaped by RLHF, can dominate ASR, TTS, and real-time dialogue simultaneously.
Hyperfitting's surprising generation improvements aren't just temperature scaling – they stem from a "Terminal Expansion" in the final transformer block that dynamically reorders token ranks.
Forget temperature tuning: Min-$k$ sampling finds the "semantic cliff" in your LLM's logits, delivering robust and high-quality text even when other methods fall apart.
