SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 669 papers

TitleStatusHype
Automated Fact-Checking of Claims in Argumentative Parliamentary Debates—0
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Explainable Fact-checking through Question Answering—0
Automated Fact-Checking of Claims from Wikipedia—0
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums—0
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey—0
Automated Fact Checking in the News Room—0
An End-to-End Multi-task Learning Model for Fact Checking—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
Combating Misinformation in the Arab World: Challenges & Opportunities—0
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?—0
Adversarial Domain Adaptation for Stance Detection—0
Fraunhofer SIT at CheckThat! 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets—0
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence—0
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking—0
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models—0
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning—0
Automated Fact-Checking for Assisting Human Fact-Checkers—0
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking—0
Collaboratively adding context to social media posts reduces the sharing of false news—0
Automated Fact-Checking: A Survey—0
An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News—0
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering—0
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking—0
Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation—0
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text—0
ClimaText: A Dataset for Climate Change Topic Detection—0
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports—0
Adversarial attacks against Fact Extraction and VERification—0
AutoHall: Automated Hallucination Dataset Generation for Large Language Models—0
Analyzing Political Parody in Social Media—0
Fine-tuning Language Models for Factuality—0
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—0
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?—0
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs—0
A Debate-Driven Experiment on LLM Hallucinations and Accuracy—0
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking—0
ClaimRank: Detecting Check-Worthy Claims in Arabic and English—0
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter—0
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs—0
Claim Matching Beyond English to Scale Global Fact-Checking—0
Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking—0
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
Factorization of Fact-Checks for Low Resource Indian Languages—0
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus—0
Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model—0
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection—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