TIGER-AI-Lab/KB-BINDER
"Few-shot In-context Learning for Knowledge Base Question Answering" [ACL2023]
This tool helps AI engineers build and evaluate systems that answer complex questions using a knowledge base, even with limited training examples. You provide a knowledge base (like Freebase) and a small set of example questions and answers. The system then generates accurate answers to new, similar questions by querying the knowledge base. It's designed for machine learning engineers and researchers working on natural language understanding.
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Use this if you are a machine learning engineer working on question-answering systems and need to quickly adapt a model to a new knowledge base with very few labeled examples.
Not ideal if you are looking for an off-the-shelf solution for end-users or do not have the technical expertise to set up a knowledge base server and run Python scripts.
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66
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8
Language
Python
License
MIT
Category
Last pushed
Jan 27, 2025
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curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/TIGER-AI-Lab/KB-BINDER"
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