3 papers
cs.CL2026
GAIA-v2-LILT: Multilingual Adaptation of Agent Benchmark beyond Translation
Yunsu Kim, Kaden Uhlig, Joern Wuebker
Agent benchmarks remain largely English-centric, while their multilingual versions are often built with machine translation (MT) and limited post-editing. We argue that, for agenti…
cs.CL2025
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization
Kaden Uhlig, Joern Wuebker, Raphael Reinauer +1
Reinforcement Learning from Human Feedback (RLHF) and derivative techniques like Direct Preference Optimization (DPO) are task-alignment algorithms used to repurpose general, found…
cs.CL2025
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems
Lia Shahnazaryan, Patrick Simianer, Joern Wuebker
We explore the impact of multi-source input strategies on machine translation (MT) quality, comparing GPT-4o, a large language model (LLM), with a traditional multilingual neural m…