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cs.CL2026
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
cs.CL2025
Compensating for Data with Reasoning: Low-Resource Machine Translation with LLMs
Samuel Frontull, Thomas Ströhle
Large Language Models (LLMs) have demonstrated strong capabilities in multilingual machine translation, sometimes even outperforming traditional neural systems. However, previous r…
cs.CL2024
Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin
Samuel Frontull, Georg Moser
This paper explores the impact of different back-translation approaches on machine translation for Ladin, specifically the Val Badia variant. Given the limited amount of parallel d…