SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 669 papers

TitleStatusHype
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information—0
Automated Fact-Checking of Claims from Wikipedia—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Explainable Fact-checking through Question Answering—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
Generating Fact Checking Briefs—0
Happenstance: Utilizing Semantic Search to Track Russian State Media Narratives about the Russo-Ukrainian War On Reddit—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
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—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
Fraunhofer SIT at CheckThat! 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets—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
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition—0
Claim Matching Beyond English to Scale Global Fact-Checking—0
Fine-tuning Language Models for Factuality—0
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking—0
Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model—0
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?—0
Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification—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
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—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