Highlights
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facebookresearch/GAMUT
facebookresearch/GAMUT PublicGAMUT a Two-Level Meta-Rubric Benchmark for Long-Form Factuality
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facebookresearch/dpr-scale
facebookresearch/dpr-scale PublicScalable training for dense retrieval models.
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facebookresearch/factual_reasoning
facebookresearch/factual_reasoning PublicTraining code for the Learning to Reason for Factuality paper https//arxiv.org/abs/2508.05618
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facebookresearch/UniK-QA
facebookresearch/UniK-QA Public archiveUnified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
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facebookresearch/RA-DIT
facebookresearch/RA-DIT PublicThe official data preparation code of paper "RA-DIT Retrieval-Augmented Dual Instruction Tuning" (https//arxiv.org/abs/2310.01352).
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microsoft/Multilingual-Model-Transfer
microsoft/Multilingual-Model-Transfer Public archiveIn this project we develop new deep learning models for bootstrapping language understanding models for languages with no labeled data using labeled data from other languages.
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