TLT is a lossless acceleration framework for reasoning-oriented LLM RL training, introducing adaptive speculative decoding to eliminate long-tail generation bottlenecks. It achieves over 1.7× end-to-end speedup while fully preserving model quality and producing a high-quality draft model for efficient deployment.

Long-RL enables RL on hour-long videos on a single A100; LongVILA-R1-7B supports 8,192 frames and scores 71.1% on VideoMME with subtitles.