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Andreas Marfurt

2 accepted papers

2026

With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots

ICML 2026poster

Reliable retrieval-augmented generation (RAG) systems depend fundamentally on the retriever’s ability to find relevant information. We show that neural retrievers used in RAG systems have blind spots, which we define as the failure to retrieve entities that are relevant to the query, but have low si…

Cited by 0SourceScholar
2025

Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis

NAACL 2025findings

This paper investigates the automation of qualitative data analysis, focusing on inductive coding using large language models (LLMs). Unlike traditional approaches that rely on deductive methods with predefined labels, this research investigates the inductive process where labels emerge from the dat…

Cited by 16SourcePDFScholar