SOTAVerified

Fact Checking

Papers

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Showing 151–200 of 669 papers

TitleStatusHype
ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread—0
BLCU\_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking—0
Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations—0
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction—0
A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT—0
ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Bag of Lies: Robustness in Continuous Pre-training BERT—0
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs—0
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda—0
A Vector-Based Approach to Few-Shot Veracity Classification for Automated Fact-Checking—0
Are Large Language Models Good Fact Checkers: A Preliminary Study—0
Evidence-based Interpretable Open-domain Fact-checking with Large Language Models—0
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification—0
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models—0
Automatic News Generation and Fact-Checking System Based on Language Processing—0
Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of claims using transformer-based models—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
Automatic Fake News Detection: Are current models “fact-checking” or“gut-checking”?—0
A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach—0
Explainable Fact-checking through Question Answering—0
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information—0
Fact-Checking Generative AI: Ontology-Driven Biological Graphs for Disease-Gene Link Verification—0
Entanglement: Balancing Punishment and Compensation, Repeated Dilemma Game-Theoretic Analysis of Maximum Compensation Problem for Bypass and Least Cost Paths in Fact-Checking, Case of Fake News with Weak Wallace's Law—0
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking—0
Automatic Fact-Checking with Frame-Semantics—0
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning—0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing—0
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter—0
AnswerFact: Fact Checking in Product Question Answering—0
AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism—0
CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets—0
Automatic Claim Review for Climate Science via Explanation Generation—0
Cross-lingual Transfer Learning for Check-worthy Claim Identification over Twitter—0
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media—0
A Causal Lens for Evaluating Faithfulness Metrics—0
Automatic Fake News Detection: Are current models "fact-checking" or "gut-checking"?—0
Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets—0
An Extensible Framework for Verification of Numerical Claims—0
Autonomation, not Automation: Activities and Needs of Fact-checkers as a Basis for Designing Human-Centered AI Systems—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs—0
Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
Automatic Verification of Data Summaries—0
ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection—0
Decoding AI Judgment: How LLMs Assess News Credibility and Bias—0
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting—0
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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