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
ProoFVer: Natural Logic Theorem Proving for Fact VerificationCode1
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact VerificationCode1
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature PerspectiveCode1
Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training FrameworkCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
CHECKWHY: Causal Fact Verification via Argument StructureCode1
HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference OptimizationCode1
Explain and Predict, and then Predict AgainCode1
Paragraph-based Transformer Pre-training for Multi-Sentence InferenceCode1
Evidence-based Factual Error CorrectionCode1
ChartCheck: Explainable Fact-Checking over Real-World Chart ImagesCode1
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyCode0
Rethinking Loss Functions for Fact VerificationCode0
A Little Human Data Goes A Long WayCode0
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact VerificationCode0
CFEVER: A Chinese Fact Extraction and VERification DatasetCode0
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceCode0
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable AttentionCode0
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door AdjustmentCode0
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based ModelCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
Are Large Language Models Table-based Fact-Checkers?Code0
Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language ModelingCode0
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with TablesCode0
Program Enhanced Fact Verification with Verbalization and Graph Attention NetworkCode0
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
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification ModelsCode0
ClaimDiff: Comparing and Contrasting Claims on Contentious IssuesCode0
Molecular Facts: Desiderata for Decontextualization in LLM Fact VerificationCode0
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison FeedbackCode0
Multi-Evidence based Fact Verification via A Confidential Graph Neural NetworkCode0
Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact VerificationCode0
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
Elastic weight consolidation for better bias inoculationCode0
Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic ParsingCode0
Converge to the Truth: Factual Error Correction via Iterative Constrained EditingCode0
Learning to Verify Summary Facts with Fine-Grained LLM FeedbackCode0
FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-CheckingCode0
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
Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of PolyglotismCode0
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
Fine-grained Fact Verification with Kernel Graph Attention NetworkCode0
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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
10T5-baseKILT-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