[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
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Updated
Jan 3, 2023 - Python
[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs
A framework for systematic evaluation of retrieval strategies and prompt engineering in RAG systems, featuring an interactive chat interface for document analysis.
A simple automatic QA generator for Japanese texts
A RAG (Retrieval-Augmented Generation) solution Based on Pre-generated QA Pairs. 基于预生成 QA 对的 RAG 知识库解决方案
Implements a Retrieval-Augmented Generation (RAG) system.
End-to-end pipeline to fine-tune seq2seq Transformers (T5/BART) on the FDA Investigations Operations Manual, with ontology-driven triple extraction and QA pair generation via Owlready2 against a custom COPE ontology.
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