SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 669 papers

TitleStatusHype
Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports—0
An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News—0
An End-to-End Multi-task Learning Model for Fact Checking—0
An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking—0
A New Approach to Claim Check-Worthiness Prediction and Claim Verification—0
An Extensible Framework for Verification of Numerical Claims—0
AnswerFact: Fact Checking in Product Question Answering—0
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection—0
Are Large Language Models Good Fact Checkers: A Preliminary Study—0
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs—0
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Artificial Intelligence in Deliberation: The AI Penalty and the Emergence of a New Deliberative Divide—0
A Semantics-Aware Approach to Automated Claim Verification—0
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking—0
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking—0
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document—0
A Survey on Predicting the Factuality and the Bias of News Media—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification—0
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—0
AutoHall: Automated Hallucination Dataset Generation for Large Language Models—0
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation—0
Automated Fact-Checking: A Survey—0
Automated Fact-Checking for Assisting Human Fact-Checkers—0
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?—0
Automated Fact Checking in the News Room—0
Automated Fact-Checking of Claims from Wikipedia—0
Automated Fact-Checking of Claims in Argumentative Parliamentary Debates—0
Automated Fact-Checking of Climate Change Claims with Large Language Models—0
Automated Fact Checking: Task formulations, methods and future directions—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches—0
Autonomation, not Automation: Activities and Needs of Fact-checkers as a Basis for Designing Human-Centered AI Systems—0
Automatic Claim Review for Climate Science via Explanation Generation—0
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning—0
Automatic Fact-Checking with Frame-Semantics—0
Automatic Fake News Detection: Are current models "fact-checking" or "gut-checking"?—0
Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”?—0
Automatic News Generation and Fact-Checking System Based on Language Processing—0
Automatic Verification of Data Summaries—0
A Vector-Based Approach to Few-Shot Veracity Classification for Automated Fact-Checking—0
Bag of Lies: Robustness in Continuous Pre-training BERT—0
BLCU\_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking—0
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking—0
BREAKING! Presenting Fake News Corpus for Automated Fact Checking—0
BRENDA: Browser Extension for Fake News Detection—0
Bridging History with AI A Comparative Evaluation of GPT 3.5, GPT4, and GoogleBARD in Predictive Accuracy and Fact Checking—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