AI RESEARCH
DEO: Training-Free Direct Embedding Optimization for Negation-Aware Retrieval
arXiv CS.CL
•
ArXi:2603.09185v1 Announce Type: new Recent advances in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) have enabled diverse retrieval methods. However, existing retrieval methods often fail to accurately retrieve results for negation and exclusion queries. To address this limitation, prior approaches rely on embedding adaptation or fine-tuning, which