ReMova: Fine-tuning LLMs for English to Belarusian translation

arXiv:2609.16427 · cs.CL · Submitted 2026-09-14 · Read on arXiv

cs.CL

Submitted: 2026-09-14

Updated: 2026-09-14

Comments: WMT26 submission

Code: https://github.com/cisnlp/GlotLID

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fine-Tuning — 30× in this paper · explained in 5 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Low-Resource Languages — 6× in this paper · explained in 4 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 4× in this paper
• European Language Resources Association — 3× in this paper
• Alignment — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• LoRA Fine-Tuning — 2× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Interactive Discussion — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Omnilingual MT: Machine Translation for 1,600 Languages
• Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
• OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models
• SeamlessM4T: Massively Multilingual & Multimodal Machine Translation
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• TranslateGemma Technical Report
• Gemma 4 Technical Report
• Gemma 3 Technical Report
• The Llama 3 Herd of Models
• MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
• Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics
• No Language Left Behind: Scaling Human-Centered Machine Translation
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
• Qwen2.5 Technical Report
• Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering