Cover Image

The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bafna, Niyati, Li, Tianjian, Murray, Kenton, Mortensen, David R., Yarowsky, David, Sirin, Hale, Khashabi, Daniel
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization
by: Bafna, Niyati, et al.
Published: (2024)

DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models
by: Bafna, Niyati, et al.
Published: (2025)

Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!
by: Bafna, Niyati, et al.
Published: (2024)

Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning
by: Bafna, Niyati, et al.
Published: (2026)

ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models
by: Chang, Emily, et al.
Published: (2025)

Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
by: Li, Tianjian, et al.
Published: (2023)

Characterizing the Effects of Translation on Intertextuality using Multilingual Embedding Spaces
by: McGovern, Hope, et al.
Published: (2025)

Exploring Representational Disparities Between Multilingual and Bilingual Translation Models
by: Verma, Neha, et al.
Published: (2023)

SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning
by: Li, Tianjian, et al.
Published: (2025)

Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
by: Li, Tianjian, et al.
Published: (2024)

LID Models are Actually Accent Classifiers: Implications and Solutions for LID on Accented Speech
by: Bafna, Niyati, et al.
Published: (2025)

How Important is `Perfect' English for Machine Translation Prompts?
by: Schmidtová, Patrícia, et al.
Published: (2025)

Faux Polyglot: A Study on Information Disparity in Multilingual Large Language Models
by: Sharma, Nikhil, et al.
Published: (2024)

Multi-Hypothesis Distillation of Multilingual Neural Translation Models for Low-Resource Languages
by: Galiano-Jiménez, Aarón, et al.
Published: (2025)

The Flaw of Averages: Quantifying Uniformity of Performance on Benchmarks
by: Uzunoglu, Arda, et al.
Published: (2025)

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators
by: Hu, Yuchen, et al.
Published: (2024)

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
by: Li, Jiahuan, et al.
Published: (2023)

Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data
by: Zhang, Jingyu, et al.
Published: (2024)

Benchmarking Language Model Creativity: A Case Study on Code Generation
by: Lu, Yining, et al.
Published: (2024)

Detecting Structured Language Alternations in Historical Documents by Combining Language Identification with Fourier Analysis
by: Sirin, Hale, et al.
Published: (2024)

How Multilingual Are Large Language Models Fine-Tuned for Translation?
by: Richburg, Aquia, et al.
Published: (2024)

Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses
by: Sirin, Hale, et al.
Published: (2024)

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
by: Alves, Duarte M., et al.
Published: (2024)

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
by: Zhu, Wenhao, et al.
Published: (2023)

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
by: Ramos, Miguel Moura, et al.
Published: (2025)

Jointly Reinforcing Diversity and Quality in Language Model Generations
by: Li, Tianjian, et al.
Published: (2025)

Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models
by: Shang, Yuzhe, et al.
Published: (2026)

The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
by: Shen, Lingfeng, et al.
Published: (2024)

Mitigating Language Barriers in Education: Developing Multilingual Digital Learning Materials with Machine Translation
by: Poláková, Lucie, et al.
Published: (2025)

When your Cousin has the Right Connections: Unsupervised Bilingual Lexicon Induction for Related Data-Imbalanced Languages
by: Bafna, Niyati, et al.
Published: (2023)

Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data
by: Ji, Shaoxiong, et al.
Published: (2025)

Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models
by: Gao, Pengzhi, et al.
Published: (2024)

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale
by: Xu, Haoran, et al.
Published: (2024)

The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation
by: Stap, David, et al.
Published: (2025)

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
by: Tan, Weiting, et al.
Published: (2024)

Assessing the Impact of Typological Features on Multilingual Machine Translation in the Age of Large Language Models
by: Hirak, Vitalii, et al.
Published: (2026)

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
by: Cui, Menglong, et al.
Published: (2025)

A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
by: Li, Zihao, et al.
Published: (2024)

Breaking the Language Barrier: Can Direct Inference Outperform Pre-Translation in Multilingual LLM Applications?
by: Intrator, Yotam, et al.
Published: (2024)

Where does In-context Translation Happen in Large Language Models
by: Sia, Suzanna, et al.
Published: (2024)