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cs.CL2025
Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech
Rikuto Kotoge, Yuichi Sasaki
Aligning text-to-speech (TTS) system outputs with human feedback through preference optimization has been shown to effectively improve the robustness and naturalness of language mo…
cs.CL2025
Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities
Rikuto Kotoge, Mai Nishimura, Jiaxin Ma
Reinforcement Learning has emerged as a dominant post-training approach to elicit agentic RAG behaviors such as search and planning from language models. Despite its success with l…