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
BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with TablesCode0
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact VerificationCode0
Program Enhanced Fact Verification with Verbalization and Graph Attention NetworkCode0
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language ModelsCode0
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact VerificationCode0
DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact VerificationCode0
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable AttentionCode0
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceCode0
ClaimDiff: Comparing and Contrasting Claims on Contentious IssuesCode0
Towards a Framework for Evaluating Explanations in Automated Fact VerificationCode0
DanFEVER: claim verification dataset for DanishCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
Rethinking Loss Functions for Fact VerificationCode0
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language ModelsCode0
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification ModelsCode0
Converge to the Truth: Factual Error Correction via Iterative Constrained EditingCode0
Towards Debiasing Fact Verification ModelsCode0
Elastic weight consolidation for better bias inoculationCode0
Combining Fact Extraction and Verification with Neural Semantic Matching NetworksCode0
AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence FindingCode0
Coarse-to-Fine Memory Matching for Joint Retrieval and ClassificationCode0
End-to-End Bias Mitigation by Modelling Biases in CorporaCode0
Are Large Language Models Table-based Fact-Checkers?Code0
Heuristic Heterogeneous Graph Reasoning Networks for Fact VerificationCode0
HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationCode0
Step-by-Step Fact Verification System for Medical Claims with Explainable ReasoningCode0
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution SimilaritiesCode0
A DQN-based Approach to Finding Precise Evidences for Fact VerificationCode0
Unsupervised Pretraining for Fact Verification by Language Model DistillationCode0
Structural Self-Supervised Objectives for TransformersCode0
XFEVER: Exploring Fact Verification across LanguagesCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific ChartsCode0
Investigating Zero- and Few-shot Generalization in Fact VerificationCode0
KaushikAcharya at SemEval-2021 Task 9: Candidate Generation for Fact Verification over TablesCode0
Fine-grained Fact Verification with Kernel Graph Attention NetworkCode0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and ContextCode0
Language Models Hallucinate, but May Excel at Fact VerificationCode0
Zero-Shot Fact Verification via Natural Logic and Large Language ModelsCode0
FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-CheckingCode0
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification SystemsCode0
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
A Little Human Data Goes A Long WayCode0
Table-based Fact Verification with Self-adaptive Mixture of ExpertsCode0
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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
10T5-baseKILT-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