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cs.CL2026

Bridging What the Model Thinks and How It Speaks: Expressive Speech Generation via Self-Aware Intent-Realization Alignment

Kuang Wang, Lai Wei, Ping Lin +8

Speech Language Models (SLMs) exhibit strong semantic understanding, yet often fail to translate this capacity into expressive acoustic realization, producing speech with flattened…

cs.CL20261 cited

Discourse-Aware Dual-Track Streaming Response for Low-Latency Spoken Dialogue Systems

Siyuan Liu, Jiahui Xu, Feng Jiang +6

Achieving human-like responsiveness is a critical yet challenging goal for cascaded spoken dialogue systems. Conventional ASR-LLM-TTS pipelines follow a strictly sequential paradig…

cs.CL2025

CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation

Rui Ke, Jiahui Xu, Shenghao Yang +3

Theme detection is a fundamental task in user-centric dialogue systems, aiming to identify the latent topic of each utterance without relying on predefined schemas. Unlike intent i…

cs.CL20251 cited

Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles

Kuang Wang, Xianfei Li, Shenghao Yang +3

User simulators are crucial for replicating human interactions with dialogue systems, supporting both collaborative training and automatic evaluation, especially for large language…

cs.CL20241 cited

Bridging Research and Readers: A Multi-Modal Automated Academic Papers Interpretation System

Feng Jiang, Kuang Wang, Haizhou Li

In the contemporary information era, significantly accelerated by the advent of Large-scale Language Models, the proliferation of scientific literature is reaching unprecedented le…