Teaching Large Language Models an Unseen Language on the Fly
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Abstract (arXiv)
Existing large language models struggle to support numerous low-resource languages, particularly the extremely low-resource ones, for which there is minimal training data available for effective parameter updating. We thus investigate whether LLMs can learn a new language on the fly solely through prompting. To study this question, we collect a research suite for Zhuang, a language supported by no LLMs currently. We introduce DiPMT++, a framework for adapting LLMs to unseen languages by in-context learning. Using a dictionary and 5K parallel sentences only, DiPMT++ significantly enhances the performance of GPT-4 from 0 to 16 BLEU for Chinese-to-Zhuang translation and achieves 32 BLEU for Zhuang-to-Chinese translation. We also validate the effectiveness of our framework on Kalamang, another unseen language. Furthermore, we demonstrate the practical utility of DiPMT++ in aiding humans in translating completely unseen languages, which could contribute to the preservation of linguistic diversity.
Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). Builds on 25 of its 42 references that are in the map. First posted on arXiv 29 Feb 2024.
Builds on
25 of 42 references.
References · 25
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
- 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,779
- 2023Qwen Technical Reportcited by 3,273
- 2022BLOOM: A 176B-Parameter Open-Access Multilingual Language Modelcited by 1,968
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- 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,290
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- 2023MEGA: Multilingual Evaluation of Generative AIcited by 291
13 more
- 2023Prompting Large Language Model for Machine Translation: A Case Studycited by 247
- 2022In-context Examples Selection for Machine Translationcited by 172
- 2022Prompting PaLM for Translation: Assessing Strategies and Performancecited by 144
- 2020UNKs Everywhere: Adapting Multilingual Language Models to New Scriptscited by 113
- 2022A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translationcited by 97
- 2023The unreasonable effectiveness of few-shot learning for machine translationcited by 91
- 2022BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Promptingcited by 90
- 2023Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translationcited by 74
- 2023A Benchmark for Learning to Translate a New Language from One Grammar Bookcited by 74
- 2023PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuningcited by 39
- 2023Romanization-based Large-scale Adaptation of Multilingual Language Modelscited by 21
- 2023InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuningcited by 21
- 2023SCALE: Synergized Collaboration of Asymmetric Language Translation Enginescited by 3
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Citing papers per year: 2024: 7; 2025: 14; 2026: 8.
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- 2024LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitaskscited by 367
- 2024Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?cited by 23
- 2024Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problemcited by 17
- 2025Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchucited by 12
- 2025Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Reviewcited by 8
- 2024Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalizationcited by 7
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- 2026An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languagescited by 0
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- 2026A Factorial Study of Synthetic Data Generation for Low-Resource Machine Translation using Grammar Bookscited by 0
- 2026A Factorial Study of Synthetic Data Generation for Low-Resource Machine Translation using Grammar Books24 Jul 2026
- 2026Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation4 Jun 2026
- 2026A Komi-Yazva--Russian Parallel Corpus and Evaluation Protocol for Zero- and Few-Shot LLM Translation4 Jun 2026
- 2026AFRILANGTUTOR: Advancing Language Tutoring and Culture Education in Low-Resource Languages with Large Language Models22 Apr 2026
- 2026Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion20 Apr 2026
- 2026An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages3 Apr 2026
- 2026Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning23 Mar 2026
- 2026Multimodal In-context Learning for ASR of Low-resource Languages9 Jan 2026
- 2025LingGym: How Far Are LLMs from Thinking Like Field Linguists?1 Nov 2025
- 2025On Non-interactive Evaluation of Animal Communication Translators17 Oct 2025
- 2025CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource Languages21 Sep 2025
- 2025The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang30 Aug 2025
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- 2025It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs26 Aug 2025
- 2025Compensating for Data with Reasoning: Low-Resource Machine Translation with LLMs28 May 2025
- 2025Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review7 May 2025
- 2025Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese30 Apr 2025
- 2025Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge3 Mar 2025
- 2025MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages3 Mar 2025
- 2025Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu17 Feb 2025
- 2025Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages15 Feb 2025
- 2025Prompt and circumstance: A word-by-word LLM prompting approach to interlinear glossing for low-resource languages13 Feb 2025
- 2025DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models27 Jan 2025
- 2024LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks19 Dec 2024
- 2024From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation1 Dec 2024
- 2024Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?27 Sep 2024
- 2024Shaping the Future of Endangered and Low-Resource Languages -- Our Role in the Age of LLMs: A Keynote at ECIR 20245 Sep 2024
- 2024SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation9 Aug 2024
- 2024Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem21 Jun 2024
- 2024Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization19 Jun 2024
- 2024LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitaskscited by 367
- 2025LingGym: How Far Are LLMs from Thinking Like Field Linguists?cited by 6
- 2025The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlangcited by 3
- 2025Compensating for Data with Reasoning: Low-Resource Machine Translation with LLMscited by 2
- 2025LingGym: How Far Are LLMs from Thinking Like Field Linguists?1 Nov 2025
- 2025The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang30 Aug 2025
- 2025Compensating for Data with Reasoning: Low-Resource Machine Translation with LLMs28 May 2025
- 2024LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks19 Dec 2024
- 2024Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?cited by 23
- 2024Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problemcited by 17
- 2025Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchucited by 12
- 2025Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Reviewcited by 8
- 2024Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalizationcited by 7
- 2025It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMscited by 5
- 2025MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languagescited by 4
- 2025Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanesecited by 2
- 2024SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translationcited by 1
- 2024Shaping the Future of Endangered and Low-Resource Languages -- Our Role in the Age of LLMs: A Keynote at ECIR 2024cited by 1
- 2024From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translationcited by 1
- 2025DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Modelscited by 1
12 most cited of 23 All 23 (JSON)
- 2026Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation4 Jun 2026
- 2026A Komi-Yazva--Russian Parallel Corpus and Evaluation Protocol for Zero- and Few-Shot LLM Translation4 Jun 2026
- 2026Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion20 Apr 2026
- 2026An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages3 Apr 2026
- 2026Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning23 Mar 2026
- 2026Multimodal In-context Learning for ASR of Low-resource Languages9 Jan 2026
- 2025On Non-interactive Evaluation of Animal Communication Translators17 Oct 2025
- 2025CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource Languages21 Sep 2025
- 2025It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs26 Aug 2025
- 2025Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review7 May 2025
- 2025Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese30 Apr 2025
- 2025Automated Annotation of Evolving Corpora for Augmenting Longitudinal Network Data: A Framework Integrating Large Language Models and Expert Knowledge3 Mar 2025
12 newest of 23 All 23 (JSON)