SOTAVerified

Fact Checking

Papers

Showing 151200 of 669 papers

TitleStatusHype
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and MisinformationCode0
Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicineCode0
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?Code0
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the OvenCode0
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact CheckingCode0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
Image Provenance Analysis at ScaleCode0
Implicit Temporal Reasoning for Evidence-Based Fact-CheckingCode0
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world ClaimsCode0
MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question AnsweringCode0
AraFacts: The First Large Arabic Dataset of Naturally Occurring ClaimsCode0
CrowdChecked: Detecting Previously Fact-Checked Claims in Social MediaCode0
Automatic Fact-guided Sentence ModificationCode0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
Harnessing Abstractive Summarization for Fact-Checked Claim DetectionCode0
Grounding Fallacies Misrepresenting Scientific Publications in EvidenceCode0
Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checkingCode0
GraphCheck: Multi-Path Fact-Checking with Entity-Relationship GraphsCode0
Generating Fact Checking Summaries for Web ClaimsCode0
Correcting misinformation on social media with a large language modelCode0
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-CheckingCode0
Fuzzy Deep Hybrid Network for Fake News DetectionCode0
How We Refute Claims: Automatic Fact-Checking through Flaw Identification and ExplanationCode0
COVID-19 on Social Media: Analyzing Misinformation in Twitter ConversationsCode0
Finding Streams in Knowledge Graphs to Support Fact CheckingCode0
From Chaos to Clarity: Claim Normalization to Empower Fact-CheckingCode0
Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label RefinementCode0
aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert OpinionsCode0
Fake News Detection via NLP is Vulnerable to Adversarial AttacksCode0
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
Factuality Assessment as Modal Dependency ParsingCode0
Automatic Fact-Checking Using Context and Discourse InformationCode0
CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-CheckingCode0
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification SystemsCode0
FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas WarCode0
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM AnnotatorsCode0
Combining Fact Extraction and Verification with Neural Semantic Matching NetworksCode0
FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge GraphsCode0
Crowd Intelligence for Early Misinformation Prediction on Social MediaCode0
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?Code0
QuestGen: Effectiveness of Question Generation Methods for Fact-Checking ApplicationsCode0
FACTors: A New Dataset for Studying the Fact-checking EcosystemCode0
Fully Automated Fact Checking Using External SourcesCode0
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 TreatmentsCode0
Fact Checking in Community ForumsCode0
Fact-Checking Meets Fauxtography: Verifying Claims About ImagesCode0
Fact Checking Beyond Training SetCode0
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep LearningCode0
Fact Checking with Insufficient EvidenceCode0
Explaining Interactions Between Text SpansCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.78Unverified
2SGPT-BE-5.8BnDCG@100.75Unverified
3BM25+CEnDCG@100.69Unverified
4SGPT-CE-6.1BnDCG@100.68Unverified
5ColBERTnDCG@100.67Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BnDCG@100.31Unverified
2monoT5-3BnDCG@100.28Unverified
3BM25+CEnDCG@100.25Unverified
4SGPT-CE-6.1BnDCG@100.16Unverified
#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.85Unverified
2BM25+CEnDCG@100.82Unverified
3SGPT-BE-5.8BnDCG@100.78Unverified
4SGPT-CE-6.1BnDCG@100.73Unverified
#ModelMetricClaimedVerifiedStatus
1HerOQuestion Only score0.48Unverified
2CTU AICQuestion Only score0.46Unverified
3InFactQuestion Only score0.45Unverified
#ModelMetricClaimedVerifiedStatus
1Abc0..5sec2Unverified
#ModelMetricClaimedVerifiedStatus
1MA-CINPrecision0.26Unverified
#ModelMetricClaimedVerifiedStatus
1FDHNAccuracy (Test)0.7Unverified