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Beijing University of Posts and Telecommunications
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Adaptive weighting in model merging can drastically improve multilingual reasoning performance, outperforming traditional methods across 21 languages.
PTL-Diffusion achieves superior manifold-level distributional matching by embedding phase structure directly into the diffusion process, outperforming traditional models.
Forget hand-crafted rewards: VLLR leverages LLMs and VLMs to automatically generate dense rewards, boosting robotic task success rates by up to 56% on long-horizon tasks.
