SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 669 papers

TitleStatusHype
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification—0
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter—0
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda—0
Bag of Lies: Robustness in Continuous Pre-training BERT—0
Detecting Deception in Political Debates Using Acoustic and Textual Features—0
AnswerFact: Fact Checking in Product Question Answering—0
AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism—0
Fact-Checking at Scale with DimensionRank—0
CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets—0
Automatic Claim Review for Climate Science via Explanation Generation—0
DialFact: A Benchmark for Fact-Checking in Dialogue—0
An Extensible Framework for Verification of Numerical Claims—0
Autonomation, not Automation: Activities and Needs of Fact-checkers as a Basis for Designing Human-Centered AI Systems—0
Fact-checking AI-generated news reports: Can LLMs catch their own lies?—0
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation—0
Fact-checking based fake news detection: a review—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
Fact Checking via Path Embedding and Aggregation—0
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese—0
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
A New Approach to Claim Check-Worthiness Prediction and Claim Verification—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
Contrastive Learning to Improve Retrieval for Real-world Fact Checking—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information—0
BRENDA: Browser Extension for Fake News Detection—0
Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models—0
Automated Fact Checking: Task formulations, methods and future directions—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
Can Community Notes Replace Professional Fact-Checkers?—0
A Semantics-Aware Approach to Automated Claim Verification—0
Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets—0
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification—0
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking—0
An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking—0
Computational Fact-Checking of Online Discourse: Scoring scientific accuracy in climate change related news articles—0
Automated Fact-Checking of Climate Change Claims with Large Language Models—0
Evaluating open-source Large Language Models for automated fact-checking—0
A Benchmark Dataset of Check-worthy Factual Claims—0
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification—0
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models—0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
Community Moderation and the New Epistemology of Fact Checking on Social Media—0
Automated Fact-Checking of Claims in Argumentative Parliamentary Debates—0
Evidence-based Interpretable Open-domain Fact-checking with Large Language Models—0
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information—0
Automated Fact-Checking of Claims from Wikipedia—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