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FEVER: a large-scale dataset for Fact Extraction and VERification
v1v2v3 (latest)

FEVER: a large-scale dataset for Fact Extraction and VERification

North American Chapter of the Association for Computational Linguistics (NAACL), 2018
14 March 2018
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
    HILM
ArXiv (abs)PDFHTML

Papers citing "FEVER: a large-scale dataset for Fact Extraction and VERification"

50 / 1,133 papers shown
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LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
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Pengjun Xie
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Hao Fei
486
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FarExStance: Explainable Stance Detection for Farsi
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Inference Scaling for Bridging Retrieval and Augmented Generation
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A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
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Zhiting Mei
Justin Lidard
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