SOTAVerified

Fact Checking

Papers

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Showing 201–250 of 669 papers

TitleStatusHype
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic SimilarityCode0
Fact Checking Beyond Training SetCode0
QuanTemp: A real-world open-domain benchmark for fact-checking numerical claimsCode0
Attribute First, then Generate: Locally-attributable Grounded Text GenerationCode1
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine ConflictCode0
Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News DetectionCode0
Embedded Named Entity Recognition using Probing ClassifiersCode0
Correcting misinformation on social media with a large language modelCode0
MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection—0
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs—0
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification—0
Multimodal Large Language Models to Support Real-World Fact-Checking—0
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in TurkishCode0
CFEVER: A Chinese Fact Extraction and VERification DatasetCode0
Heterogeneous Graph Reasoning for Fact Checking over Texts and TablesCode1
Repetitive Dilemma Games in Distribution Information Using Interplay of Droop Quota: Meek's Method in Impact of Maximum Compensation and Minimum Cost Routes in Information Role of Marginal Contribution in Two-Sided Matching Markets—0
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence—0
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs—0
TrustScore: Reference-Free Evaluation of LLM Response TrustworthinessCode0
Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models—0
Entanglement: Balancing Punishment and Compensation, Repeated Dilemma Game-Theoretic Analysis of Maximum Compensation Problem for Bypass and Least Cost Paths in Fact-Checking, Case of Fake News with Weak Wallace's Law—0
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM AnnotatorsCode0
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate—0
EntGPT: Linking Generative Large Language Models with Knowledge BasesCode0
Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model ApproachCode0
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs—0
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification—0
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation—0
FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas WarCode0
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim VerificationCode0
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting—0
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese—0
How We Refute Claims: Automatic Fact-Checking through Flaw Identification and ExplanationCode0
Ta'keed: The First Generative Fact-Checking System for Arabic Claims—0
Automated Fact-Checking of Climate Change Claims with Large Language Models—0
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-ExplanationsCode1
Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research—0
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world ClaimsCode0
Fact-checking based fake news detection: a review—0
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT—0
Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs—0
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any LanguageCode0
Evidence-based Interpretable Open-domain Fact-checking with Large Language Models—0
Fuzzy Deep Hybrid Network for Fake News DetectionCode0
Are Large Language Models Good Fact Checkers: A Preliminary Study—0
ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information—0
RED-DOT: Multimodal Fact-checking via Relevant Evidence DetectionCode0
Online Continual Knowledge Learning for Language Models—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