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cs.CL2025
When Importance Sampling Misallocates Credit: Asymmetric Ratios for Outcome-Supervised RL
Jiakang Wang, Runze Liu, Qingpeng Cai +7
Reinforcement learning (RL) has shown great promise in large language models (LLMs) post-training, which typically rely on token-level clipping to maintain stability during optimiz…
eess.AS2025
Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation
Jun Wang, Xijuan Zeng, Chunyu Qiang +19
We propose Kling-Foley, a large-scale multimodal Video-to-Audio generation model that synthesizes high-quality audio synchronized with video content. In Kling-Foley, we introduce m…