--- title: "Who cites Eliciting the Translation Ability of — 45 citing papers" description: "45 papers of the Elamur Research library cite «Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with…" canonical: "https://research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Eliciting the Translation Ability of Large…](https://md.research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/) / cited by # Who cites «Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions» 45 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions»](https://md.research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/) 1. [**Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation arXiv:2401.08417**Haoran Xu, Amr Sharaf, Yunmo Chen, et al.*2024 · 207 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-contrastive-preference-optimization-pushing-boundaries/) 2. **[Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026* 43 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/) — Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions