5 citations · 6 across the 3 of their papers we have counts for
3 papers
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset
Tilahun Abedissa Taffa, Debayan Banerjee, Yaregal Assabie +1
Existing Scholarly Question Answering (QA) methods typically target homogeneous data sources, relying solely on either text or Knowledge Graphs (KGs). However, scholarly informatio…
Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway
Hamed Babaei Giglou, Tilahun Abedissa Taffa, Rana Abdullah +4
This paper introduces a scholarly Question Answering (QA) system on top of the NFDI4DataScience Gateway, employing a Retrieval Augmented Generation-based (RAG) approach. The NFDI4D…
Leveraging LLMs in Scholarly Knowledge Graph Question Answering
Tilahun Abedissa Taffa, Ricardo Usbeck
This paper presents a scholarly Knowledge Graph Question Answering (KGQA) that answers bibliographic natural language questions by leveraging a large language model (LLM) in a few-…