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Florin Cuconasu

2 accepted papers

2025

Do RAG Systems Really Suffer From Positional Bias?

EMNLP 2025

Retrieval Augmented Generation enhances LLM accuracy by adding passages retrieved from an external corpus to the LLM prompt. This paper investigates how positional bias - the tendency of LLMs to weight information differently based on its position in the prompt - affects not only the LLM’s capabilit

Cited by 0SourcePDFScholar
2025

The Distracting Effect: Understanding Irrelevant Passages in RAG

ACL 2025long

A well-known issue with Retrieval Augmented Generation (RAG) is that retrieved passages that are irrelevant to the query sometimes distract the answer-generating LLM, causing it to provide an incorrect response. In this paper, we shed light on this core issue and formulate the distracting effect of…

Cited by 0SourcePDFScholar