---
title: "Who cites Salute the Classic: Revisiting — 32 citing papers"
description: "32 papers of the Elamur Research library cite «Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large…"
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---
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# Who cites «Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models»

32 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models»](https://md.research.elamur.ai/free/en/papers/pang-2025-salute-classic-revisiting-challenges-machine/)

1. [**Hunyuan-MT Technical Report arXiv:2509.05209**Mao Zheng, Zheng Li, Bingxin Qu, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2025-hunyuan-mt-technical-report/)
2. **[New Trends for Modern Machine Translation with Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-new-trends-modern-machine-translation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.*2026 · 16 citations*
3. [**Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models arXiv:2503.24377**Rui Wang, Hongru Wang, Boyang Xue, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/)
4. **[Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs](https://md.research.elamur.ai/free/en/papers/papi-2026-hearing-translate-effectiveness-speech-modality/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Sara Papi, Javier Garcia Gilabert, Zachary Hopton, et al.*2026 · 7 citations*
5. **[Discourse Graph Guided Document Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/pham-2026-discourse-graph-guided-document-translation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Viet Thanh Pham, Minghan Wang, Hao-Han Liao, et al.*2026 · 1 citation*
6. **[Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and Domains](https://md.research.elamur.ai/free/en/papers/sayeedi-2026-ready-translate-not-represent-bias/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.*2026 · 1 citation*
7. **[Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language Variety](https://md.research.elamur.ai/free/en/papers/natale-2026-beyond-simple-term-injection-reasoning/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.*2026*
8. **[Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-parallel-universes-parallel-languages-comprehensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Wang, Van Bach Nguyen, Yihong Liu, et al.*2026*
9. **[Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*

23 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/pang-2025-salute-classic-revisiting-challenges-machine/) — Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models