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Xi Chen

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CL3
  • stat.ME1
ORCID 0000-0001-6974-4321
same name
  • Xi Chen — 22 papers, h 79
  • Xi Chen — 21 papers, h 23
  • Xi Chen — 20 papers
  • Xi Chen — 20 papers, h 21
  • Xi Chen — 18 papers
  • Xi Chen — 18 papers, h 21

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 citedLLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

StressTransfer: Stress-Aware Speech-to-Speech Translation with Emphasis Preservation

Xi Chen, Yuchen Song, Satoshi Nakamura

We propose a stress-aware speech-to-speech translation (S2ST) system that preserves word-level emphasis by leveraging LLMs for cross-lingual emphasis conversion. Our method transla…

stat.ME2025

Functional Mixed effects Model for Joint Analysis of Longitudinal and Cross-Sectional Growth Data

Long Chen, Ji Chen, Yingchun Zhou

A new method is proposed to perform joint analysis of longitudinal and cross-sectional growth data. Clustering is first performed to group similar subjects in cross-sectional data…

cs.CL2025

SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation

Zeyu Yang, Lai Wei, Roman Koshkin +2

This work proposes a grammar-based chunking strategy that segments input streams into semantically complete units by parsing dependency relations (e.g., noun phrase boundaries, ver…

cs.CL2024★ 1 cited

LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models

Xi Chen, Songyang Zhang, Qibing Bai +2

We introduces LLaST, a framework for building high-performance Large Language model based Speech-to-text Translation systems. We address the limitations of end-to-end speech transl…

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