SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 669 papers

TitleStatusHype
Automatic Fact-Checking with Frame-Semantics—0
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition—0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking—0
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
Tracking the Takes and Trajectories of English-Language News Narratives across Trustworthy and Worrisome WebsitesCode0
Improving Factuality with Explicit Working Memory—0
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification—0
Logical Consistency of Large Language Models in Fact-checking—0
Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic SettingsCode0
ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese—0
Self-Adaptive Paraphrasing and Preference Learning for Improved Claim Verifiability—0
Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers—0
LLMs as Debate Partners: Utilizing Genetic Algorithms and Adversarial Search for Adaptive ArgumentsCode0
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding StrategiesCode0
Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
ZeFaV: Boosting Large Language Models for Zero-shot Fact VerificationCode0
Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection—0
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?—0
Evaluating Large Language Model Capability in Vietnamese Fact-Checking Data Generation—0
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking—0
VERITAS: A Unified Approach to Reliability Evaluation—0
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output—0
InFact: A Strong Baseline for Automated Fact-Checking—0
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models—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