mlsanityData to 14 Oct 2026

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination

arXiv 2508.18791 ↗First posted 26 Aug 2025cs.CLcited by 1

Not on the map. Why?

Abstract (arXiv)

Despite the remarkable progress of modern machine translation (MT) systems on general-domain texts, translating structured LaTeX-formatted documents remains a significant challenge. These documents typically interleave natural language with domain-specific syntax, such as mathematical equations, tables, figures, and cross-references, all of which must be accurately preserved to maintain semantic integrity and compilability. In this paper, we introduce LaTeXTrans, a collaborative multi-agent system designed to address this challenge. LaTeXTrans ensures format preservation, structural fidelity, and terminology consistency through six specialized agents: 1) a Parser that decomposes LaTeX into translation-friendly units via placeholder substitution and syntax filtering; 2) a Translator, Validator, Summarizer, and Terminology Extractor that work collaboratively to ensure context-aware, self-correcting, and terminology-consistent translations; 3) a Generator that reconstructs the translated content into well-structured LaTeX documents. Experimental results show that LaTeXTrans outperforms mainstream MT systems in both translation accuracy and structural preservation. The source code, the online demonstration platform, and a demo video are publicly available.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 18 references that are in the map. First posted on arXiv 26 Aug 2025.

Builds on

11 of 18 references.

References · 11

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
  3. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,395
  4. 2020COMET: A Neural Framework for MT Evaluationcited by 1,033
  5. 2023Auto-GPT for Online Decision Making: Benchmarks and Additional Opinionscited by 255
  6. 2022CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Taskcited by 207
  7. 2022Prompting PaLM for Translation: Assessing Strategies and Performancecited by 145
  8. 2024DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memorycited by 27
  9. 2025Science Across Languages: Assessing LLM Multilingual Translation of Scientific Paperscited by 8
  10. 2025Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translationcited by 8
  11. 2025Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translationcited by 8

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.