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Found 4 papers, 2 papers with code
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset
Existing Scholarly Question Answering (QA) methods typically target homogeneous data sources, relying solely on either text or Knowledge Graphs (KGs).
Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway
This paper introduces a scholarly Question Answering (QA) system on top of the NFDI4DataScience Gateway, employing a Retrieval Augmented Generation-based (RAG) approach.
Leveraging LLMs in Scholarly Knowledge Graph Question Answering
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-shot manner.
Amharic Question Answering for Biography, Definition, and Description Questions
To deal with more complex information needs we developed an Amharic non-factoid QA for biography, definition, and description questions.
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