How Many Languages Make Good Multilingual Instruction Tuning? A Case Study on BLOOM
Fuente:
arXiv
Saved in:
| Main Authors: | Ji, Shaoxiong, Chen, Pinzhen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
by: Chen, Pinzhen, et al.
Published: (2024)
by: Chen, Pinzhen, et al.
Published: (2024)
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models
by: Ji, Shaoxiong, et al.
Published: (2024)
by: Ji, Shaoxiong, et al.
Published: (2024)
Fine-tuning Large Language Models with Sequential Instructions
by: Hu, Hanxu, et al.
Published: (2024)
by: Hu, Hanxu, et al.
Published: (2024)
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning
by: Du, Yifan, et al.
Published: (2023)
by: Du, Yifan, et al.
Published: (2023)
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective
by: Han, Guangzeng, et al.
Published: (2026)
by: Han, Guangzeng, et al.
Published: (2026)
In-context Learning vs. Instruction Tuning: The Case of Small and Multilingual Language Models
by: Ponce, David, et al.
Published: (2025)
by: Ponce, David, et al.
Published: (2025)
Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting LLMs Across Languages and Resources
by: Li, Zihao, et al.
Published: (2025)
by: Li, Zihao, et al.
Published: (2025)
Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data
by: Ji, Shaoxiong, et al.
Published: (2025)
by: Ji, Shaoxiong, et al.
Published: (2025)
Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
by: Zhu, Wenhao, et al.
Published: (2025)
by: Zhu, Wenhao, et al.
Published: (2025)
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
by: Weber, Alexander Arno, et al.
Published: (2024)
by: Weber, Alexander Arno, et al.
Published: (2024)
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
by: Zhu, Dawei, et al.
Published: (2024)
by: Zhu, Dawei, et al.
Published: (2024)
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?
by: Ji, Shaoxiong, et al.
Published: (2024)
by: Ji, Shaoxiong, et al.
Published: (2024)
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
by: Liu, Wei, et al.
Published: (2023)
by: Liu, Wei, et al.
Published: (2023)
mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models
by: Lai, Huiyuan, et al.
Published: (2024)
by: Lai, Huiyuan, et al.
Published: (2024)
Investigating the Multilingual Calibration Effects of Language Model Instruction-Tuning
by: Huang, Jerry, et al.
Published: (2026)
by: Huang, Jerry, et al.
Published: (2026)
Model-Based Quality Assessment for Massively Multilingual Parallel Data
by: Ibrahim, Abdelaziz M. A., et al.
Published: (2026)
by: Ibrahim, Abdelaziz M. A., et al.
Published: (2026)
DocHPLT: A Massively Multilingual Document-Level Translation Dataset
by: O'Brien, Dayyán, et al.
Published: (2025)
by: O'Brien, Dayyán, et al.
Published: (2025)
The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
by: Bogoychev, Nikolay, et al.
Published: (2023)
by: Bogoychev, Nikolay, et al.
Published: (2023)
Linguistically-Informed Multilingual Instruction Tuning: Is There an Optimal Set of Languages to Tune?
by: Soykan, Gürkan, et al.
Published: (2024)
by: Soykan, Gürkan, et al.
Published: (2024)
Multi-Agent Collaboration for Multilingual Code Instruction Tuning
by: Yang, Jian, et al.
Published: (2025)
by: Yang, Jian, et al.
Published: (2025)
How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language Adapters
by: Oji, Romina, et al.
Published: (2025)
by: Oji, Romina, et al.
Published: (2025)
Multilingual Instruction Tuning With Just a Pinch of Multilinguality
by: Shaham, Uri, et al.
Published: (2024)
by: Shaham, Uri, et al.
Published: (2024)
Parrot: Multilingual Visual Instruction Tuning
by: Sun, Hai-Long, et al.
Published: (2024)
by: Sun, Hai-Long, et al.
Published: (2024)
Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models
by: Stepachev, Pavel, et al.
Published: (2024)
by: Stepachev, Pavel, et al.
Published: (2024)
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models
by: Gao, Pengzhi, et al.
Published: (2024)
by: Gao, Pengzhi, et al.
Published: (2024)
Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs
by: Guo, Biyang, et al.
Published: (2024)
by: Guo, Biyang, et al.
Published: (2024)
How Multilingual Are Large Language Models Fine-Tuned for Translation?
by: Richburg, Aquia, et al.
Published: (2024)
by: Richburg, Aquia, et al.
Published: (2024)
LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning
by: Ye, Yangfan, et al.
Published: (2025)
by: Ye, Yangfan, et al.
Published: (2025)
Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)
by: Chen, Pinzhen, et al.
Published: (2023)
Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly
by: Gao, Changjiang, et al.
Published: (2024)
by: Gao, Changjiang, et al.
Published: (2024)
Does Instruction Tuning Make LLMs More Consistent?
by: Fierro, Constanza, et al.
Published: (2024)
by: Fierro, Constanza, et al.
Published: (2024)
What Makes a Good Natural Language Prompt?
by: Long, Do Xuan, et al.
Published: (2025)
by: Long, Do Xuan, et al.
Published: (2025)
Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
by: Laiyk, Nurkhan, et al.
Published: (2025)
by: Laiyk, Nurkhan, et al.
Published: (2025)
What Makes Language Models Good-enough?
by: Asami, Daiki, et al.
Published: (2024)
by: Asami, Daiki, et al.
Published: (2024)
What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features
by: Ki, Dayeon, et al.
Published: (2026)
by: Ki, Dayeon, et al.
Published: (2026)
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
by: Singh, Shivalika, et al.
Published: (2024)
by: Singh, Shivalika, et al.
Published: (2024)
Beyond Bilingual Transfer: Multilingual Code-Switching in Instruction Tuning
by: Asano, Shunta, et al.
Published: (2026)
by: Asano, Shunta, et al.
Published: (2026)
M-DaQ: Retrieving Samples with Multilingual Diversity and Quality for Instruction Fine-Tuning Datasets
by: Zhao, Chunguang, et al.
Published: (2025)
by: Zhao, Chunguang, et al.
Published: (2025)
Similar Items
-
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
by: Chen, Pinzhen, et al.
Published: (2023) -
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
by: Chen, Pinzhen, et al.
Published: (2024) -
EMMA-500: Enhancing Massively Multilingual Adaptation of Large Language Models
by: Ji, Shaoxiong, et al.
Published: (2024) -
Fine-tuning Large Language Models with Sequential Instructions
by: Hu, Hanxu, et al.
Published: (2024) -
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning
by: Du, Yifan, et al.
Published: (2023)