SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 669 papers

TitleStatusHype
Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-OasisCode1
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
ZeFaV: Boosting Large Language Models for Zero-shot Fact VerificationCode0
Evaluating Large Language Model Capability in Vietnamese Fact-Checking Data Generation—0
Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection—0
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?—0
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking—0
VERITAS: A Unified Approach to Reliability Evaluation—0
InFact: A Strong Baseline for Automated Fact-Checking—0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—0
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature AnalysisCode0
Belief in the Machine: Investigating Epistemological Blind Spots of Language ModelsCode1
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems—0
A Debate-Driven Experiment on LLM Hallucinations and Accuracy—0
Health Misinformation in Social Networks: A Survey of IT Approaches—0
ViMGuard: A Novel Multi-Modal System for Video Misinformation Guarding—0
Learning to Generate and Evaluate Fact-checking Explanations with Transformers—0
ChronoFact: Timeline-based Temporal Fact Verification—0
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—0
Real-time Fake News from Adversarial FeedbackCode0
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?—0
FIRE: Fact-checking with Iterative Retrieval and VerificationCode1
HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World ClaimsCode1
AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG taskCode0
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All datasetsSciFact (BEIR)CLIMATE-FEVER (BEIR)FEVER (BEIR)AVeriTeC.CDCDLIAR2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.78—Unverified
2SGPT-BE-5.8BnDCG@100.75—Unverified
3BM25+CEnDCG@100.69—Unverified
4SGPT-CE-6.1BnDCG@100.68—Unverified
5ColBERTnDCG@100.67—Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BnDCG@100.31—Unverified
2monoT5-3BnDCG@100.28—Unverified
3BM25+CEnDCG@100.25—Unverified
4SGPT-CE-6.1BnDCG@100.16—Unverified
#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.85—Unverified
2BM25+CEnDCG@100.82—Unverified
3SGPT-BE-5.8BnDCG@100.78—Unverified
4SGPT-CE-6.1BnDCG@100.73—Unverified
#ModelMetricClaimedVerifiedStatus
1HerOQuestion Only score0.48—Unverified
2CTU AICQuestion Only score0.46—Unverified
3InFactQuestion Only score0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Abc0..5sec2—Unverified
#ModelMetricClaimedVerifiedStatus
1MA-CINPrecision0.26—Unverified
#ModelMetricClaimedVerifiedStatus
1FDHNAccuracy (Test)0.7—Unverified