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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
Numerical Claim Detection in Finance: A New Financial Dataset, Weak-Supervision Model, and Market Analysis
EMNLP 2024
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection
EMNLP 2024
An Analysis of Multilingual FActScore
EMNLP 2024
Attribute or Abstain: Large Language Models as Long Document Assistants
EMNLP 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
EMNLP 2024
The Automated Verification of Textual Claims (AVeriTeC) Shared Task
EMNLP 2024
Retrieving Semantics for Fact-Checking: A Comparative Approach using CQ (Claim to Question) & AQ (Answer to Question)
EMNLP 2024
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models
EMNLP 2024
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
ACL 2023
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact Verification
ACL 2023
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking
EACL 2023
UnifEE: Unified Evidence Extraction for Fact Verification
EACL 2023
COVID-VTS: Fact Extraction and Verification on Short Video Platforms
EACL 2023
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning
AAAI 2023
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training
EACL 2023
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization
EACL 2023
FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract)
AAAI 2023
Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature
ACL 2023
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization
ACL 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
EMNLP 2023
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
EMNLP 2023
Fast and Accurate Factual Inconsistency Detection Over Long Documents
EMNLP 2023
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models
EMNLP 2023
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4
EMNLP 2023
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
EMNLP 2023
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