2 papers
cs.SD2026
Can LLM Agents Automate Reinforcement Learning for Text-to-Speech?
Xuanjun Chen, Zixiong Su, Hao Shi +4
Although reinforcement learning (RL) post-training repairs the localized segmental errors of zero-shot text-to-speech (TTS), arriving at a working recipe still relies on tedious ma…
cs.RO2026
SARI: Phase-Split Sim-Real Co-Training for Contact-Rich Manipulation
Xingxin He, Yuxuan Jiang, Haonan Zhang +5
Vision-language-action (VLA) models often require costly real-world demonstrations to adapt to contact-rich manipulation tasks, particularly when generalization across object place…