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A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL wo…
[ICLR 2026] AudioMCQ: A 571k audio multiple-choice question dataset for post-training Large Audio Language Models with dual CoT annotations and audio-contributi…
ABench is an evolving open-source benchmark suite designed to rigorously evaluate and enhance Large Language Models (LLMs) on complex cross-domain tasks.