The unreasonable effectiveness of few-shot learning for machine translation

2 February 2023

Colin Cherry

Papers citing "The unreasonable effectiveness of few-shot learning for machine translation"

50 / 76 papers shown

Title
Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese Silvana Yakhni Ali Chehab 31 0 0 30 Apr 2025
Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: A Pilot Study Andy Li Wei Zhou Rashina Hoda Chris Bain Peter Poon LM&MA ELM 33 0 0 23 Apr 2025
Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations Yuri Balashov Alex Balashov Shiho Fukuda Koski 19 0 0 20 Apr 2025
Can Pre-training Indicators Reliably Predict Fine-tuning Outcomes of LLMs? Hansi Zeng Kai Hui Honglei Zhuang Zhen Qin Zhenrui Yue Hamed Zamani Dana Alon 33 0 0 16 Apr 2025
Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement Yichen Dong Xinglin Lyu Junhui Li Daimeng Wei Min Zhang Shimin Tao Hao Yang 19 0 0 08 Apr 2025
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation Baban Gain Dibyanayan Bandyopadhyay Asif Ekbal LM&MA 52 0 0 02 Apr 2025
Self-Evolution Knowledge Distillation for LLM-based Machine Translation Yuncheng Song Liang Ding Changtong Zan Shujian Huang 65 0 0 19 Dec 2024
Video Diffusion Transformers are In-Context Learners Zhengcong Fei Di Qiu Changqian Yu Debang Li Mingyuan Fan VGen DiffM 107 2 0 14 Dec 2024
A Practical Guide to Fine-tuning Language Models with Limited Data Márton Szép Daniel Rueckert Rüdiger von Eisenhart-Rothe Florian Hinterwimmer SyDa ALM 35 2 0 14 Nov 2024
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning Rita Ramos Everlyn Asiko Chimoto Maartje ter Hoeve Natalie Schluter 21 0 0 24 Oct 2024
On Instruction-Finetuning Neural Machine Translation Models Vikas Raunak Roman Grundkiewicz Marcin Junczys-Dowmunt 18 1 0 07 Oct 2024
Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task Zhanglin Wu Daimeng Wei Zongyao Li Hengchao Shang Jiaxin Guo Shaojun Li Zhiqiang Rao Yuanchang Luo Ning Xie Hao Yang 13 4 0 23 Sep 2024
How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes Inacio Vieira Will Allred Séamus Lankford Sheila Castilho Andy Way 21 0 0 05 Sep 2024
Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation Vivek Iyer Bhavitvya Malik Pavel Stepachev Pinzhen Chen Barry Haddow Alexandra Birch ALM 16 3 0 23 Aug 2024
Transformers are Minimax Optimal Nonparametric In-Context Learners Juno Kim Tai Nakamaki Taiji Suzuki 13 9 0 22 Aug 2024
DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models Yuanhao Zeng Fei Ren Xinpeng Zhou Yihang Wang Yingxia Shao ALM 20 0 0 19 Aug 2024
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs Aleix Sant Carlos Escolano Audrey Mash Francesca de Luca Fornaciari Maite Melero 31 4 0 26 Jul 2024
Fine-grained Gender Control in Machine Translation with Large Language Models Minwoo Lee Hyukhun Koh Minsu Kim Kyomin Jung 28 0 0 21 Jul 2024
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt Deng Cai Huayang Li Tingchen Fu Siheng Li Weiwen Xu ... Leyang Cui Yan Wang Lemao Liu Taro Watanabe Shuming Shi KELM 26 2 0 24 Jun 2024
Speech Prefix-Tuning with RNNT Loss for Improving LLM Predictions M. Baskar Andrew Rosenberg Bhuvana Ramabhadran Neeraj Gaur Zhong Meng 21 3 0 20 Jun 2024
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms Andong Chen Lianzhang Lou Kehai Chen Xuefeng Bai Yang Xiang Muyun Yang Tiejun Zhao Min Zhang VLM 22 12 0 11 Jun 2024
BERTs are Generative In-Context Learners David Samuel 19 5 0 07 Jun 2024
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation Nathaniel Berger Stefan Riezler M. Exel Matthias Huck LRM 37 2 0 04 Jun 2024
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities David Stap Eva Hasler Bill Byrne Christof Monz Ke M. Tran 19 8 0 30 May 2024
G-DIG: Towards Gradient-based Diverse and High-quality Instruction Data Selection for Machine Translation Xingyuan Pan Luyang Huang Liyan Kang Zhicheng Liu Yu Lu Shanbo Cheng ALM 24 11 0 21 May 2024
Relay Decoding: Concatenating Large Language Models for Machine Translation Chengpeng Fu Xiaocheng Feng Yi-Chong Huang Wenshuai Huo Baohang Li Hui Wang Bing Qin Ting Liu 24 0 0 05 May 2024
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers Libo Qin Qiguang Chen Yuhang Zhou Zhi Chen Yinghui Li Lizi Liao Min Li Wanxiang Che Philip S. Yu LRM 47 35 0 07 Apr 2024
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language Raphael Merx Aso Mahmudi Katrina Langford Leo Alberto de Araujo Ekaterina Vylomova 22 5 0 07 Apr 2024
Poro 34B and the Blessing of Multilinguality Risto Luukkonen Jonathan Burdge Elaine Zosa Aarne Talman Ville Komulainen Vaino Hatanpaa Peter Sarlin S. Pyysalo AI4CE 36 12 0 02 Apr 2024
Token-Efficient Leverage Learning in Large Language Models Yuanhao Zeng Min Wang Yihang Wang Yingxia Shao 29 0 0 01 Apr 2024
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning Changtong Zan Liang Ding Li Shen Yibing Zhen Weifeng Liu Dacheng Tao 39 9 0 21 Mar 2024
Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems Bo-Han Lu Yi-Hsuan Lin En-Shiun Annie Lee Richard Tzong-Han Tsai 16 0 0 18 Mar 2024
Where does In-context Translation Happen in Large Language Models Suzanna Sia David Mueller Kevin Duh LRM 27 0 0 07 Mar 2024
Teaching Large Language Models an Unseen Language on the Fly Chen Zhang Xiao Liu Jiuheng Lin Yansong Feng 25 18 0 29 Feb 2024
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method Biao Zhang Zhongtao Liu Colin Cherry Orhan Firat LRM 41 119 0 27 Feb 2024
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement Zhaopeng Feng Yan Zhang Hao Li Bei Wu Jiayu Liao Wenqiang Liu Jun Lang Yang Feng Jian Wu Zuozhu Liu LRM 25 9 0 26 Feb 2024
Visual In-Context Learning for Large Vision-Language Models Yucheng Zhou Xiang Li Qianning Wang Jianbing Shen MLLM 24 57 0 18 Feb 2024
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions Nooshin Pourkamali Shler Ebrahim Sharifi LRM 39 9 0 16 Jan 2024
Enhancing Document-level Translation of Large Language Model via Translation Mixed-instructions Yachao Li Junhui Li Jing Jiang Min Zhang 14 4 0 16 Jan 2024
Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation Giorgos Vernikos Andrei Popescu-Belis 17 14 0 12 Jan 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation Shilong Pan Zhiliang Tian Liang Ding Zhen Huang Zhihua Wen Dongsheng Li 21 2 0 11 Jan 2024
Aligning Translation-Specific Understanding to General Understanding in Large Language Models Yi-Chong Huang Xiaocheng Feng Baohang Li Chengpeng Fu Wenshuai Huo Ting Liu Bing Qin 9 0 0 10 Jan 2024
Analyzing Local Representations of Self-supervised Vision Transformers Ani Vanyan Alvard Barseghyan Hakob Tamazyan Vahan Huroyan Hrant Khachatrian Martin Danelljan 25 2 0 31 Dec 2023
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding Guangyu Yang Jinghong Chen Weizhe Lin Bill Byrne 8 20 0 14 Nov 2023
Model-as-a-Service (MaaS): A Survey Wensheng Gan Shicheng Wan Philip S. Yu 14 19 0 10 Nov 2023
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding Jiali Zeng Fandong Meng Yongjing Yin Jie Zhou 21 4 0 06 Nov 2023
Dissecting In-Context Learning of Translations in GPTs Vikas Raunak Hany Awadalla Arul Menezes 36 1 0 24 Oct 2023
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning Duarte M. Alves Nuno M. Guerreiro Joao Alves José P. Pombal Ricardo Rei José G. C. de Souza Pierre Colombo André F.T. Martins 45 47 0 20 Oct 2023
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models António Farinhas José G. C. de Souza André F. T. Martins 11 8 0 17 Oct 2023
SCALE: Synergized Collaboration of Asymmetric Language Translation Engines Xin Cheng Xun Wang Tao Ge Si-Qing Chen Y. Li Dongyan Zhao Rui Yan 35 2 0 29 Sep 2023