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 151–200 of 216 papers

TitleStatusHype
ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source—0
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification—0
xLP: Explainable Link Prediction for Master Data Management—0
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language ModelsCode0
Exploring Decomposition for Table-based Fact VerificationCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact VerificationCode0
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact VerificationCode0
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact VerificationCode0
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceCode0
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with TablesCode0
Towards a Framework for Evaluating Explanations in Automated Fact VerificationCode0
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable AttentionCode0
DanFEVER: claim verification dataset for DanishCode0
Rethinking Loss Functions for Fact VerificationCode0
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language ModelsCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification ModelsCode0
Towards Debiasing Fact Verification ModelsCode0
ClaimDiff: Comparing and Contrasting Claims on Contentious IssuesCode0
Converge to the Truth: Factual Error Correction via Iterative Constrained EditingCode0
Elastic weight consolidation for better bias inoculationCode0
Combining Fact Extraction and Verification with Neural Semantic Matching NetworksCode0
End-to-End Bias Mitigation by Modelling Biases in CorporaCode0
AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence FindingCode0
Step-by-Step Fact Verification System for Medical Claims with Explainable ReasoningCode0
A Little Human Data Goes A Long WayCode0
Unsupervised Pretraining for Fact Verification by Language Model DistillationCode0
Structural Self-Supervised Objectives for TransformersCode0
XFEVER: Exploring Fact Verification across LanguagesCode0
Investigating Zero- and Few-shot Generalization in Fact VerificationCode0
KaushikAcharya at SemEval-2021 Task 9: Candidate Generation for Fact Verification over TablesCode0
Coarse-to-Fine Memory Matching for Joint Retrieval and ClassificationCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
Heuristic Heterogeneous Graph Reasoning Networks for Fact VerificationCode0
Language Models Hallucinate, but May Excel at Fact VerificationCode0
Zero-Shot Fact Verification via Natural Logic and Large Language ModelsCode0
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution SimilaritiesCode0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic ParsingCode0
TabFact: A Large-scale Dataset for Table-based Fact VerificationCode0
Learning to Verify Summary Facts with Fine-Grained LLM FeedbackCode0
Table-based Fact Verification with Salience-aware LearningCode0
Are Large Language Models Table-based Fact-Checkers?Code0
Table-based Fact Verification with Self-adaptive Mixture of ExpertsCode0
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact VerificationCode0
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and ContextCode0
ZeFaV: Boosting Large Language Models for Zero-shot Fact VerificationCode0
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification SystemsCode0
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
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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