Papers
1–3 of 3Research Paper·Feb 16, 2026
Unlocking Reasoning Capability on Machine Translation in Large Language Models
Reasoning-oriented large language models (RLMs) achieve strong gains on tasks such as mathematics and coding by generating explicit intermediate reasoning. However, their impact on machine translation...
6.0 viability
Research Paper·Jan 15, 2026
Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAG
Neural Machine Translation (NMT) models for low-resource languages suffer significant performance degradation under domain shift. We quantify this challenge using Dhao, an indigenous language of Easte...
5.0 viability
Research Paper·Feb 11, 2026
Towards Reliable Machine Translation: Scaling LLMs for Critical Error Detection and Safety
Machine Translation (MT) plays a pivotal role in cross-lingual information access, public policy communication, and equitable knowledge dissemination. However, critical meaning errors, such as factual...
5.0 viability