SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 669 papers

TitleStatusHype
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models—0
AutoHall: Automated Hallucination Dataset Generation for Large Language Models—0
GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking—0
Hallucination is the last thing you need—0
CliMedBERT: A Pre-trained Language Model for Climate and Health-related Text—0
Fake News Detection: Experiments and Approaches beyond Linguistic Features—0
Fake News Detection for Portuguese with Deep Learning—0
Health Misinformation in Social Networks: A Survey of IT Approaches—0
Fake news detection using parallel BERT deep neural networks—0
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
FAKTA: An Automatic End-to-End Fact Checking System—0
FactCorp: A Corpus of Dutch Fact-checks and its Multiple Usages—0
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop—0
FBAdtTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements—0
Cost-Effective Hallucination Detection for LLMs—0
`Fighting' or `Conflict'? An Approach to Revealing Concepts of Terms in Political Discourse—0
Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking—0
Claim Detection in Biomedical Twitter Posts—0
Combating Misinformation in the Arab World: Challenges & Opportunities—0
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition—0
Fine-tuning Language Models for Factuality—0
Generating Literal and Implied Subquestions to Fact-check Complex Claims—0
Generating Scientific Claims for Zero-Shot Scientific Fact Checking—0
Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political Information—0
Show:102550
← PrevPage 13 of 27Next →
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