2 papers
cs.IR2026
Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval
William Xion, Wolfgang Nejdl
Dense retrieval is a promising approach for acquiring relevant context or world knowledge in open-domain natural language processing tasks and is now widely used in information ret…
cs.IR2025
RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition
Tim Cofala, Oleh Astappiev, William Xion +1
Retrieval-Augmented Generation (RAG) enriches Large Language Models (LLMs) by combining their internal, parametric knowledge with external, non-parametric sources, with the goal of…