3 papers
cs.CL2026
Agentic-DuplexGen: Decoupling Content, Timing, and Acoustics for Synthetic Dialogue Speech
Pengcheng Wang, Sheng Li, Jiyi Li +1
Synthetic conversational speech has become an important resource for developing and evaluating conversational speech systems. However, existing dialogue synthesis pipelines typical…
eess.AS2026
Cached LLM Probability Retrieval for Speech Recognition
Sheng Li, Takahiro Shinozaki, Tatsuya Kawahara
Large language models (LLMs) enhance automatic speech recognition (ASR) by providing linguistic priors; however, their direct rescoring is costly because it requires evaluating eve…
cs.MM2026
RoE-FND: Synergizing LLMs with Experiential Learning for Effective and Generalizable Evidence-Based Fake News Detection
Yuzhou Yang, Qichao Ying, Sheng Li +3
The proliferation of deceptive content in social networks necessitates robust Fake News Detection (FND) systems. Existing pipelines either train detectors on labeled data or levera…