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Grounded Answers from Multi-Passage Regulations: Learning-to-Rank for Regulatory RAG
Tuba Gokhan
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Ted Briscoe
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Paper Details:
Month: November
Year: 2025
Location: Suzhou, China
Venue:
NLLP |
WS |
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https://github.com/RegNLP/ObliQA-ML/
https://github.com/RegNLP/RegulatoryRAG-ML
https://github.com/RegNLP/RegulatoryRAG-ML
https://pypi.org/project/pyserini/
https://github.com/RegNLP/RegulatoryRAG-ML
https://pypi.org/project/pytrec-eval/
https://github.com/RegNLP/RePASs
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