Misinformation Has High Perplexity

Misinformation Has High Perplexity

8 June 2020

Andrea Madotto

Papers citing "Misinformation Has High Perplexity"

10 / 10 papers shown

Title
How Much Knowledge Can You Pack Into the Parameters of a Language Model? Adam Roberts Colin Raffel Noam M. Shazeer KELM 104 889 0 10 Feb 2020
REALM: Retrieval-Augmented Language Model Pre-Training Kelvin Guu Kenton Lee Zora Tung Panupong Pasupat Ming-Wei Chang RALM 103 2,090 0 10 Feb 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 558 2,660 0 03 Sep 2019
Fake News Detection on Social Media using Geometric Deep Learning Federico Monti Fabrizio Frasca D. Eynard Damon Mannion M. Bronstein GNN 76 464 0 10 Feb 2019
Combining Fact Extraction and Verification with Neural Semantic Matching Networks Yixin Nie Haonan Chen Joey Tianyi Zhou FedML 55 304 0 16 Nov 2018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning Kashyap Popat Subhabrata Mukherjee Andrew Yates Gerhard Weikum HILM 73 302 0 17 Sep 2018
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification Andreas Hanselowski Huatian Zhang Zile Li Daniil Sorokin Benjamin Schiller Claudia Schulz Iryna Gurevych 53 182 0 03 Sep 2018
FEVER: a large-scale dataset for Fact Extraction and VERification James Thorne Andreas Vlachos Christos Christodoulopoulos Arpit Mittal HILM 121 1,646 0 14 Mar 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 196 11,542 0 15 Feb 2018
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection William Yang Wang HILM GNN 92 1,361 0 01 May 2017