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cs.SD2026
PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis
Bowen Li, Shaotong Guo, Zhen Wang +11
Building state-of-the-art text-to-speech (TTS) systems typically demands millions of hours of proprietary data and complex multi-stage architectures, creating substantial barriers…
cs.LG2026
Rethinking Importance Sampling in LLM Policy Optimization: A Cumulative Token Perspective
Yuheng Zhang, Chenlu Ye, Shuowei Jin +4
Reinforcement learning, including reinforcement learning with verifiable rewards (RLVR), has emerged as a powerful approach for LLM post-training. Central to these approaches is th…