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Natural Language Processing
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Fact-Checking
976 directly classified papers
Papers per year
2017: 5
2018: 31
2019: 39
2020: 42
2021: 94
2022: 67
2023: 90
2024: 193
2025: 359
2026: 56
Papers
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
EMNLP 2023
QA-NatVer: Question Answering for Natural Logic-based Fact Verification
EMNLP 2023
Detecting and Mitigating Hallucinations in Multilingual Summarisation
EMNLP 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
EMNLP 2023
Automated Fact-Checking in Dialogue: Are Specialized Models Needed?
EMNLP 2023
FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge
EMNLP 2023
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term
EMNLP 2023
CREPE: Open-Domain Question Answering with False Presuppositions
ACL 2023
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation
ACL 2023
Factual and Informative Review Generation for Explainable Recommendation
AAAI 2023
Scientific Fact-Checking: A Survey of Resources and Approaches
ACL 2023
ClaimDiff: Comparing and Contrasting Claims on Contentious Issues
ACL 2023
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media
EMNLP 2023
Enhancing Structured Evidence Extraction for Fact Verification
EMNLP 2023
Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA
EMNLP 2023
FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering
EMNLP 2023
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions
EMNLP 2023
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
EACL 2023
From Speculation Detection to Trustworthy Relational Tuples in Information Extraction
EMNLP 2023
OpenRT: An Open-source Framework for Reasoning Over Tabular Data
ACL 2023
WiCE: Real-World Entailment for Claims in Wikipedia
EMNLP 2023
LM vs LM: Detecting Factual Errors via Cross Examination
EMNLP 2023
Multilingual Previously Fact-Checked Claim Retrieval
EMNLP 2023
Multiple Evidence Combination for Fact-Checking of Health-Related Information
ACL 2023
NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization
ACL 2023
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