8 citations · 10 across the 5 of their papers we have counts for
5 papers
The Bairong System for MLC-SLM 2026: Dynamic Question-Aware Evidence Routing for Multilingual Conversational Speech Understanding
Shangkun Huang, Junchao Hu, Huan Shen +5
Long multilingual conversational spoken question answering requires systems to balance long-range transcript semantics with sparse acoustic and speaker-sensitive cues. We present t…
CoDeTT: A Context-Aware Decision Benchmark for Turn-Taking Evaluation
Huan Shen, Yingao Wang, Shangkun Huang +2
Turn-taking modeling is fundamental to spoken dialogue systems, yet its evaluation remains fragmented and often limited to binary boundary detection under narrow interaction settin…
CLAR: CIF-Localized Alignment for Retrieval-Augmented Speech LLM-Based Contextual ASR
Shangkun Huang, Huan Shen, Wei Zou +1
Speech LLM-based ASR often struggles with named entities and long-tail words due to strong internal language-model priors. Retrieval-augmented biasing can help, but its effectivene…
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
Jonathan Ivey, Shivani Kumar, Jiayu Liu +12
Studying and building datasets for dialogue tasks is both expensive and time-consuming due to the need to recruit, train, and collect data from study participants. In response, muc…
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks
Kai-Wei Chang, Haibin Wu, Yu-Kai Wang +6
Prompting has become a practical method for utilizing pre-trained language models (LMs). This approach offers several advantages. It allows an LM to adapt to new tasks with minimal…