SOTAVerified

Fact Verification

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

Papers

Showing 51100 of 216 papers

TitleStatusHype
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning ExamplesCode1
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact VerificationCode1
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature PerspectiveCode1
Attribute First, then Generate: Locally-attributable Grounded Text GenerationCode1
Hierarchical Multi-head Attentive Network for Evidence-aware Fake News DetectionCode1
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on TablesCode1
Evidence-based Factual Error CorrectionCode1
Explain and Predict, and then Predict AgainCode1
ChartCheck: Explainable Fact-Checking over Real-World Chart ImagesCode1
Team Triple-Check at Factify 2: Parameter-Efficient Large Foundation Models with Feature Representations for Multi-Modal Fact VerificationCode1
GERE: Generative Evidence Retrieval for Fact VerificationCode1
End-to-End Bias Mitigation by Modelling Biases in CorporaCode0
A Little Human Data Goes A Long WayCode0
Step-by-Step Fact Verification System for Medical Claims with Explainable ReasoningCode0
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact VerificationCode0
CFEVER: A Chinese Fact Extraction and VERification DatasetCode0
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable AttentionCode0
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door AdjustmentCode0
Structural Self-Supervised Objectives for TransformersCode0
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based ModelCode0
Are Large Language Models Table-based Fact-Checkers?Code0
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with TablesCode0
DanFEVER: claim verification dataset for DanishCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language ModelsCode0
Rethinking Loss Functions for Fact VerificationCode0
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification ModelsCode0
ClaimDiff: Comparing and Contrasting Claims on Contentious IssuesCode0
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of PolyglotismCode0
Converge to the Truth: Factual Error Correction via Iterative Constrained EditingCode0
Molecular Facts: Desiderata for Decontextualization in LLM Fact VerificationCode0
Multi-Evidence based Fact Verification via A Confidential Graph Neural NetworkCode0
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification SystemsCode0
Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph RetrievalsCode0
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
Elastic weight consolidation for better bias inoculationCode0
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact VerificationCode0
Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic ParsingCode0
Learning to Verify Summary Facts with Fine-Grained LLM FeedbackCode0
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison FeedbackCode0
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and ContextCode0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge GraphsCode0
Combining Fact Extraction and Verification with Neural Semantic Matching NetworksCode0
Coarse-to-Fine Memory Matching for Joint Retrieval and ClassificationCode0
FaaF: Facts as a Function for the evaluation of generated textCode0
Language Models Hallucinate, but May Excel at Fact VerificationCode0
Investigating Zero- and Few-shot Generalization in Fact VerificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Re2GKILT-AC78.53Unverified
2intersectKILT-AC71.28Unverified
3WikipediaKILT-AC65.68Unverified
4KGIKILT-AC64.41Unverified
5Multitask DPR + BARTKILT-AC63.94Unverified
6BERT + DPRKILT-AC58.58Unverified
7RAGKILT-AC53.45Unverified
8BART + DPRKILT-AC47.68Unverified
9NSMNKILT-AC41.88Unverified
10ElefPavKILT-AC0Unverified
#ModelMetricClaimedVerifiedStatus
1ProoFVer-SBAccuracy79.47Unverified
2DREAMAccuracy76.85Unverified
3RoBERTa-Base Joint MSPP FlexibleAccuracy75.36Unverified
4RoBERTa-Base Joint MSPPAccuracy74.39Unverified
5KGATAccuracy74.1Unverified
6RAGAccuracy72.5Unverified
7GEARAccuracy71.6Unverified
#ModelMetricClaimedVerifiedStatus
1DanFEVER XLM-RoBERTa LargeF10.9Unverified