SOTAVerified

Fact Checking

Papers

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Showing 201–250 of 669 papers

TitleStatusHype
Automatic Fact-Checking with Frame-Semantics—0
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition—0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking—0
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome WebsitesCode0
Improving Factuality with Explicit Working Memory—0
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification—0
Logical Consistency of Large Language Models in Fact-checking—0
ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese—0
Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic SettingsCode0
Self-Adaptive Paraphrasing and Preference Learning for Improved Claim Verifiability—0
Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers—0
LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive ArgumentsCode0
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding StrategiesCode0
Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports—0
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
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking—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
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
A Debate-Driven Experiment on LLM Hallucinations and Accuracy—0
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems—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
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—0
ChronoFact: Timeline-based Temporal Fact Verification—0
Real-time Fake News from Adversarial FeedbackCode0
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?—0
AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG taskCode0
A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim VerificationCode0
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from VideosCode0
Contrastive Learning to Improve Retrieval for Real-world Fact Checking—0
LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking—0
Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation GenerationCode0
How Entangled is Factuality and Deception in German?—0
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs—0
HybridFC: A Hybrid Fact-Checking Approach for Knowledge GraphsCode0
LLMs Will Always Hallucinate, and We Need to Live With This—0
LoraMap: Harnessing the Power of LoRA Connections—0
Grounding Fallacies Misrepresenting Scientific Publications in EvidenceCode0
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMsCode0
CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-CheckingCode0
KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment—0
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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