Showing cs.IRShow all
2 papers · 1 filter
cs.IR2026
A Triple-Robustness Analysis of Retrieval-Augmented Generation for Multi-Hop Requirements Traceability
Meftun Akarsu, Burak Özdemir, Doğancan Büyükçolak +1
Reported verdicts on GraphRAG versus vector RAG disagree, and the evidence is typically tied to a single corpus, embedder, and judge -- and, we show, to where citation quality is m…
cs.IR2026
From BM25 to Corrective RAG: Benchmarking Retrieval Strategies for Text-and-Table Documents
Meftun Akarsu, Recep Kaan Karaman, Christopher Mierbach
Retrieval-Augmented Generation (RAG) systems critically depend on retrieval quality, yet no systematic comparison of modern retrieval methods exists for heterogeneous documents con…