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cs.CL2026
Usage-Modulated Sentiment Representations in Large Language Models
Hongfei Du, Jiacheng Shi, Yanfu Zhang +2
Prior work suggests that sentiment can often be captured by approximately linear directions in LLM activation spaces, but a single direction may not fully capture sentiment represe…
cs.CL2026
Sparse Autoencoders for Interpretable Emotion Control in Text-to-Speech
Hongfei Du, Jiacheng Shi, Sidi Lu +2
Integrating large language models (LLMs) into text-to-speech (TTS) systems has improved speech expressiveness, yet interpretable emotional control remains challenging. Existing app…
cs.CL2025
Emotion-Aligned Generation in Diffusion Text to Speech Models via Preference-Guided Optimization
Jiacheng Shi, Hongfei Du, Yangfan He +2
Emotional text-to-speech seeks to convey affect while preserving intelligibility and prosody, yet existing methods rely on coarse labels or proxy classifiers and receive only utter…