SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 669 papers

TitleStatusHype
AnswerFact: Fact Checking in Product Question Answering—0
AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism—0
ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information—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
CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets—0
Automatic Claim Review for Climate Science via Explanation Generation—0
An Extensible Framework for Verification of Numerical Claims—0
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT—0
Autonomation, not Automation: Activities and Needs of Fact-checkers as a Basis for Designing Human-Centered AI Systems—0
DialFact: A Benchmark for Fact-Checking in Dialogue—0
Evidence-based Interpretable Open-domain Fact-checking with Large Language Models—0
Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation—0
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese—0
A New Approach to Claim Check-Worthiness Prediction and Claim Verification—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—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
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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