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cs.CL2026
Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights
Eneko Valero, Maria Ribalta i Albado, Oscar Sainz +2
Large Language Models (LLMs) remain heavily centered on English, with limited performance in low-resource languages. Existing adaptation approaches, such as continual pre-training,…
cs.CL2026
SemBench: A Universal Semantic Framework for LLM Evaluation
Mikel Zubillaga, Naiara Perez, Oscar Sainz +1
Recent progress in Natural Language Processing (NLP) has been driven by the emergence of Large Language Models (LLMs), which exhibit remarkable generative and reasoning capabilitie…