SOTAVerified

Fact Verification

Fact verification, also called "fact checking", is a process of verifying facts in natural text against a database of facts.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 216 papers

TitleStatusHype
Re2G: Retrieve, Rerank, GenerateCode1
Dual-Channel Evidence Fusion for Fact Verification over Texts and Tables—0
Automatic True/False Question Generation for Educational Purpose—0
GPTs at Factify 2022: Prompt Aided Fact-Verification—0
Approximate Conditional Coverage & Calibration via Neural Model Approximations—0
ClaimDiff: Comparing and Contrasting Claims on Contentious IssuesCode0
Paragraph-based Transformer Pre-training for Multi-Sentence InferenceCode1
Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic ParsingCode0
Table-based Fact Verification with Self-adaptive Mixture of ExpertsCode0
GERE: Generative Evidence Retrieval for Fact VerificationCode1
DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection—0
Synthetic Disinformation Attacks on Automated Fact Verification SystemsCode1
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature PerspectiveCode1
Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact VerificationCode1
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
Investigating Zero- and Few-shot Generalization in Fact Verification—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Paragraph-based Transformer Pretraining for Multi-Sentence Inference—0
Logically at Factify 2022: Multimodal Fact Verification—0
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Evidence Decomposition Graph Network for Fact Verification—0
Table-based Fact Verification with Self-adaptive Mixture of Experts—0
Global Responses to the COVID-19 Pandemic: A Case Study of Spatiotemporal Evidence Finding and Verification—0
ConTFV: A Contrastive Learning Framework for Table-based Fact Verification—0
Uncertainty Calibration for Ensemble-Based Debiasing Methods—0
Show:102550
← PrevPage 6 of 9Next →
All datasetsKILT: FEVERFEVERDanFEVER

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Re2GKILT-AC78.53—Unverified
2intersectKILT-AC71.28—Unverified
3WikipediaKILT-AC65.68—Unverified
4KGIKILT-AC64.41—Unverified
5Multitask DPR + BARTKILT-AC63.94—Unverified
6BERT + DPRKILT-AC58.58—Unverified
7RAGKILT-AC53.45—Unverified
8BART + DPRKILT-AC47.68—Unverified
9NSMNKILT-AC41.88—Unverified
10ElefPavKILT-AC0—Unverified
#ModelMetricClaimedVerifiedStatus
1ProoFVer-SBAccuracy79.47—Unverified
2DREAMAccuracy76.85—Unverified
3RoBERTa-Base Joint MSPP FlexibleAccuracy75.36—Unverified
4RoBERTa-Base Joint MSPPAccuracy74.39—Unverified
5KGATAccuracy74.1—Unverified
6RAGAccuracy72.5—Unverified
7GEARAccuracy71.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DanFEVER XLM-RoBERTa LargeF10.9—Unverified