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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-31 | 254 |
| 2026-08-04 | 254 |
| 2026-08-06 | 254 |
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# Machine Translation with LLMs Reading List
**We greatly appreciate any contributions via PRs, issues, emails, or other methods.**
This is a machine translation with large language models (LLMs) reading list maintained by [Xing Wang](http://xingwang4nlp.com/) and [Zhiwei He](https://zwhe99.github.io/).
* [In-context Learning](#in_context_learning)
* [Assessment](#assessment)
* [Chain-of-Thought Prompting](#CoT)
* [Base Model Pre-training](#base)
* [Translation Finetuning](#finetuning)
* [LLMs as Scorer](#llms_as_scorer)
* [Post-Editing](#post-editing)
* [Interpretability](#interpretability)
* [Decoding](#decoding)
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<h2 id="in_context_learning">In-context Learning</h2>
* [Language Models are Few-Shot Learners](https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf). Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei. (NeurIPS 2020)
* [Few-shot Learning with Multilingual Generative Language Models](https://aclanthology.org/2022.emnlp-main.616/). Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O’Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona Diab, Veselin Stoyanov, Xian Li. (EMNLP 2022)
* [In-context Examples Selection for Machine Translation](https://aclanthology.org/2023.findings-acl.564.pdf). Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, Marjan Ghazvininejad. (Findings of the ACL 2023)
* [Prompting PaLM for Translation: Assessing Strategies and Performance](https://aclanthology.org/2023.acl-long.859.pdf). David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar, George Foster. (ACL 2023)
* [Prompting Large Language Model for Machine Translation: A Case Study](https://openreview.net/pdf?id=yWl0agiI0y). Biao Zhang, Barry Haddow, Alexandra Birch. (ICML 2023)
* [Prompting Neural Machine Translation with Translation Memories](https://arxiv.org/abs/2301.05380). Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu. (AAAI 2023)
* [Adaptive Machine Translation with Large Language Models](https://arxiv.org/abs/2301.13294). Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way. (EAMT 2023) {[code](https://github.com/ymoslem/Adaptive-MT-LLM)}
* [The unreasonable effectiveness of few-shot learning for machine translation](https://openreview.net/pdf?id=zvCSNsoyKW). Xavier Garcia, Yamini Bansal, Colin Cherry, George Foster, Maxim Krikun, Fangxiaoyu Feng, Melvin Johnson, Orhan Firat. (ICML 2023)
* [Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation](https://arxiv.org/abs/2302.07856). Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer. (arxiv 2023)
* [RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation](https://aclanthology.org/2023.acl-short.126/). Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde. (ACL 2023)
* [Instruction Position Matters in Sequence Generation with Large Language Models](https://arxiv.org/abs/2308.12097). Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou. (arxiv 2023) {[code](https://github.com/Adaxry/Post-Instruction/tree/main)}
* [Improving Translation Faithfulness of Large Language Models via Augmenting Instructions](https://arxiv.org/abs/2308.12674). Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou. (arxiv 2023) {[code](https://github.com/pppa2019/swie_overmiss_llmExcerpt of 19,058 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b0fd31a8a2e07be4, llm:Repository name: 'Awesome-LLM-MT'. No topics or README provided, but name indicates an 'Awesome' curated list for LLM (large language models) and MT (machine translation) or multi-topic. Likely a curated resources list for LLMs/MT.
matched fp:b0fd31a8a2e07be4, llm:Repository name: 'Awesome-LLM-MT'. No topics or README provided, but name indicates an 'Awesome' curated list for LLM (large language models) and MT (machine translation) or multi-topic. Likely a curated resources list for LLMs/MT.