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cs.SD2025
TISDiSS: A Training-Time and Inference-Time Scalable Framework for Discriminative Source Separation
Yongsheng Feng, Yuetonghui Xu, Jiehui Luo +4
Source separation is a fundamental task in speech, music, and audio processing, and it also provides cleaner and larger data for training generative models. However, improving sepa…
cs.CL2025
A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks
Hongjia Liu, Jinlong Li
Large language models (LLMs) have shown remarkable capabilities in solving complex tasks. Recent work has explored decomposing such tasks into subtasks with independent contexts. H…