Xinglin Lyu

Orcid: 0000-0003-1971-6618

According to our database1, Xinglin Lyu authored at least 14 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement.
CoRR, April, 2025

DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation.
CoRR, April, 2025

Improving LLM-based Document-level Machine Translation with Multi-Knowledge Fusion.
CoRR, March, 2025

Speech Translation Refinement using Large Language Models.
CoRR, January, 2025

HW-TSC at Multilingual Counterspeech Generation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Why Not Transform Chat Large Language Models to Non-English?
CoRR, 2024

DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators.
CoRR, 2024

DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Refining History for Future-Aware Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

HW-TSC 2023 Submission for the Quality Estimation Shared Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

2022
Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021


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