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Xiaoyu Yang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.HC1
  • eess.AS1
same name
  • Xiaoyu Yang — 8 papers
  • Xiaoyu Yang — 5 papers
  • Xiaoyu Yang — 4 papers
  • Xiaoyu Yang — 4 papers
  • Xiaoyu Yang — 3 papers
  • Xiaoyu Yang — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.HC2025

PresentCoach: Dual-Agent Presentation Coaching through Exemplars and Interactive Feedback

Sirui Chen, Jinsong Zhou, Xinli Xu +3

Effective presentation skills are essential in education, professional communication, and public speaking, yet learners often lack access to high-quality exemplars or personalized…

cs.CL2025

SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation

Wenyi Yu, Siyin Wang, Xiaoyu Yang +7

In order to enable fluid and natural human-machine speech interaction, existing full-duplex conversational systems often adopt modular architectures with auxiliary components such…

cs.CL2025

LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation

Haitao Li, Yifan Chen, Yiran Hu +7

Retrieval-augmented generation (RAG) has proven highly effective in improving large language models (LLMs) across various domains. However, there is no benchmark specifically desig…

eess.AS2024★ 1 cited

SALMONN-omni: A Codec-free LLM for Full-duplex Speech Understanding and Generation

Wenyi Yu, Siyin Wang, Xiaoyu Yang +7

Full-duplex multimodal large language models (LLMs) provide a unified framework for addressing diverse speech understanding and generation tasks, enabling more natural and seamless…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.