LLaMA Beyond English: An Empirical Study on Language Capability Transfer
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2401.01055
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Published
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54
multilingual
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YAYI 2: Multilingual Open-Source Large Language Models
Paper • 2312.14862 • Published • 13 -
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
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TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes
Paper • 2311.10797 • Published -
Distilling Efficient Language-Specific Models for Cross-Lingual Transfer
Paper • 2306.01709 • Published • 1 -
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
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Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback
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Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
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A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
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Extrapolating Large Language Models to Non-English by Aligning Languages
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JaColBERT and Hard Negatives, Towards Better Japanese-First Embeddings for Retrieval: Early Technical Report
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From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models
Paper • 2309.03412 • Published • 1 -
Analyzing Syntactic Generalization Capacity of Pre-trained Language Models on Japanese Honorific Conversion
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Efficient Finetuning Large Language Models For Vietnamese Chatbot
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Qwen Technical Report
Paper • 2309.16609 • Published • 34 -
Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval
Paper • 2204.02292 • Published • 1 -
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Paper • 2110.07560 • Published • 1 -
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification
Paper • 2308.07282 • Published • 1 -
Transfer to a Low-Resource Language via Close Relatives: The Case Study on Faroese
Paper • 2304.08823 • Published • 1 -
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning
Paper • 2310.13448 • Published • 1 -
Skywork: A More Open Bilingual Foundation Model
Paper • 2310.19341 • Published • 5 -
InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning
Paper • 2305.13627 • Published • 1 -
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Paper • 2305.07004 • Published • 1 -
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
Paper • 2210.12360 • Published • 1 -
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
Paper • 2205.12148 • Published • 2 -
Multilingual Large Language Models Are Not (Yet) Code-Switchers
Paper • 2305.14235 • Published -
Contextual Code Switching for Machine Translation using Language Models
Paper • 2312.13179 • Published -
Are Multilingual Models Effective in Code-Switching?
Paper • 2103.13309 • Published -
Reducing language context confusion for end-to-end code-switching automatic speech recognition
Paper • 2201.12155 • Published -
A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning
Paper • 2204.10815 • Published -
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models
Paper • 2210.07111 • Published -
Language Model Tokenizers Introduce Unfairness Between Languages
Paper • 2305.15425 • Published • 1 -
Multilingual Text Representation
Paper • 2309.00949 • Published -
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?
Paper • 2204.14268 • Published -
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer
Paper • 2306.08753 • Published • 1 -
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation
Paper • 2311.15698 • Published -
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation
Paper • 2304.07854 • Published • 1 -
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
Paper • 2305.15083 • Published • 2 -
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
Paper • 2301.10472 • Published -
Crosslingual Generalization through Multitask Finetuning
Paper • 2211.01786 • Published • 2 -
PolyLM: An Open Source Polyglot Large Language Model
Paper • 2307.06018 • Published • 25 -
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
Paper • 2401.05749 • Published • 6 -
Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine
Paper • 2301.08745 • Published -
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models
Paper • 2401.10440 • Published -
MaLA-500: Massive Language Adaptation of Large Language Models
Paper • 2401.13303 • Published • 11 -
CroissantLLM: A Truly Bilingual French-English Language Model
Paper • 2402.00786 • Published • 25 -
Multilingual E5 Text Embeddings: A Technical Report
Paper • 2402.05672 • Published • 20 -
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
Paper • 2402.06619 • Published • 53 -
Do Llamas Work in English? On the Latent Language of Multilingual Transformers
Paper • 2402.10588 • Published • 1 -
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 48 -
Getting the most out of your tokenizer for pre-training and domain adaptation
Paper • 2402.01035 • Published • 2 -
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
Paper • 2012.15613 • Published • 1 -
Rethinking Tokenization: Crafting Better Tokenizers for Large Language Models
Paper • 2403.00417 • Published • 1 -
Fast Vocabulary Transfer for Language Model Compression
Paper • 2402.09977 • Published • 2 -
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Paper • 2301.09626 • Published • 2 -
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment
Paper • 2404.12318 • Published • 14 -
Measuring Taiwanese Mandarin Language Understanding
Paper • 2403.20180 • Published • 4 -
Zero-Shot Tokenizer Transfer
Paper • 2405.07883 • Published • 4 -
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities
Paper • 2404.17790 • Published • 5 -
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
Paper • 2405.10936 • Published • 1 -
Dynamic data sampler for cross-language transfer learning in large language models
Paper • 2405.10626 • Published • 4 -
Tagengo: A Multilingual Chat Dataset
Paper • 2405.12612 • Published • 3 -
Sailor: Open Language Models for South-East Asia
Paper • 2404.03608 • Published • 20 -
EXAONE 3.0 7.8B Instruction Tuned Language Model
Paper • 2408.03541 • Published • 34 -
Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP
Paper • 2408.04303 • Published • 9