2 papers
cs.CL2026
LEMUR: A Corpus for Robust Fine-Tuning of Multilingual Law Embedding Models for Retrieval
Narges Baba Ahmadi, Jan Strich, Martin Semmann +1
Large language models (LLMs) are increasingly used to access legal information. Yet, their deployment in multilingual legal settings is constrained by unreliable retrieval and the…
cs.CL2026
Comprehensive Comparison of RAG Methods Across Multi-Domain Conversational QA
Klejda Alushi, Jan Strich, Chris Biemann +1
Conversational question answering increasingly relies on retrieval-augmented generation (RAG) to ground large language models (LLMs) in external knowledge. Yet, most existing studi…