10 citations · 10 across the 3 of their papers we have counts for
4 papers
GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering
Tianyi Zhang, Andreas Marfurt
Retrieval-augmented generation (RAG) systems have been widely adopted in contemporary large language models (LLMs) due to their ability to improve generation quality while reducing…
With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots
Zeinab Sadat Taghavi, Ali Modarressi, Hinrich Schutze +1
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 syste…
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
Angelina Parfenova, Andreas Marfurt, Alexander Denzler +1
This paper investigates the automation of qualitative data analysis, focusing on inductive coding using large language models (LLMs). Unlike traditional approaches that rely on ded…
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Project Apertus, Alejandro Hernández-Cano, Alexander Hägele +100
We present Apertus, a fully open suite of large language models (LLMs) designed to address two systemic shortcomings in today's open model ecosystem: data compliance and multilingu…