collaborators

5 papers

cs.AI2026

Relevance Is Not Sufficiency: What Actually Closes the Evidence Gap in Long-Term Memory QA

Yufeng Li, Shuxin Li, Zhenhua Xu +7

LLM agents that interact with a user across many sessions accumulate histories that exceed their context window, so they store past interactions in an external memory and answer ea…

cs.SD2026

Breaking the Quality--Intelligibility Trade-off in Streaming Target Speaker Extraction via Deep-Feature-Anchored Preference Optimization

Shuhai Peng, Jinjiang Liu, Hui Lu +5

Generative streaming models for Target Speaker Extraction (TSE) commonly exhibit a quality--intelligibility trade-off, wherein naive optimization for perceptual audio quality tends…

eess.AS2026

SemaVoice: Semantic-Aware Continuous Autoregressive Speech Synthesis

Huimeng Wang, Hui Lu, Jiajun Deng +7

Continuous autoregressive speech synthesis has recently emerged as a promising direction for zero-shot text-to-speech (TTS). However, existing methods still suffer from a fundament…

cs.CL2026

How Should LLMs Listen While Speaking? A Study of User-Stream Routing in Full-Duplex Spoken Dialogue

Hui Lu, Xueyuan Chen, Huimeng Wang +4

Full-duplex spoken dialogue requires a model to keep listening while generating its own spoken response. This is challenging for large language models (LLMs), which are designed to…

cs.SD2026

StarTSE: Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model

Shuhai Peng, Hui Lu, Jinjiang Liu +8

While generative models have set new benchmarks for Target Speaker Extraction (TSE), their inherent reliance on global context precludes deployment in real-time applications. Direc…