46 citations · 50 across the 14 of their papers we have counts for
5 papers · 1 filter
SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents
Michelle Wastl, Jannis Vamvas, Rico Sennrich
Recognizing semantic differences across documents is crucial for text generation evaluation and content alignment, especially in cross-lingual settings. However, as a standalone ta…
QueST: Incentivizing LLMs to Generate Difficult Problems
Hanxu Hu, Xingxing Zhang, Jannis Vamvas +2
Large Language Models have achieved strong performance on reasoning tasks, solving competition-level coding and math problems. However, their scalability is limited by human-labele…
The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbooks
Zachary Hopton, Jannis Vamvas, Andrin Büchler +3
The five idioms (i.e., varieties) of the Romansh language are largely standardized and are taught in the schools of the respective communities in Switzerland. In this paper, we pre…
20min-XD: A Comparable Corpus of Swiss News Articles
Michelle Wastl, Jannis Vamvas, Selena Calleri +1
We present 20min-XD (20 Minuten cross-lingual document-level), a French-German, document-level comparable corpus of news articles, sourced from the Swiss online news outlet 20 Minu…
Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents
Hanxu Hu, Jannis Vamvas, Rico Sennrich
LLMs have paved the way for truly simple document-level machine translation, but challenges such as omission errors remain. In this paper, we study a simple method for handling doc…