SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 669 papers

TitleStatusHype
Can Community Notes Replace Professional Fact-Checkers?—0
Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?—0
Can LLMs Automate Fact-Checking Article Writing?—0
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate—0
Can We Spot the "Fake News" Before It Was Even Written?—0
Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models—0
ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience—0
Checking Fact Worthiness using Sentence Embeddings—0
Checkovid: A COVID-19 misinformation detection system on Twitter using network and content mining perspectives—0
Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets—0
Check-worthy Claim Detection across Topics for Automated Fact-checking—0
ChronoFact: Timeline-based Temporal Fact Verification—0
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems—0
Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?—0
Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research—0
Claim Detection in Biomedical Twitter Posts—0
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
Claim Matching Beyond English to Scale Global Fact-Checking—0
ClaimPortal: Integrated Monitoring, Searching, Checking, and Analytics of Factual Claims on Twitter—0
ClaimRank: Detecting Check-Worthy Claims in Arabic and English—0
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs—0
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus—0
ClimaText: A Dataset for Climate Change Topic Detection—0
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text—0
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking—0
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering—0
Collaboratively adding context to social media posts reduces the sharing of false news—0
Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking—0
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning—0
Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models—0
Combating Misinformation in the Arab World: Challenges & Opportunities—0
Combining Deep Learning and Argumentative Reasoning for the Analysis of Social Media Textual Content Using Small Data Sets—0
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey—0
Communication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information—0
Community Moderation and the New Epistemology of Fact Checking on Social Media—0
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification—0
Computational Fact-Checking of Online Discourse: Scoring scientific accuracy in climate change related news articles—0
Contrastive Learning to Improve Retrieval for Real-world Fact Checking—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets—0
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter—0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
Decoding AI Judgment: How LLMs Assess News Credibility and Bias—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