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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
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
EMNLP 2025
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques
IJCAI 2025
Long-Form Information Alignment Evaluation Beyond Atomic Facts
EMNLP 2025
UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
SEMEVAL 2025
How does Misinformation Affect Large Language Model Behaviors and Preferences?
ACL 2025
MSA at SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination Detection
SEMEVAL 2025
Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach
EMNLP 2025
uir-cis at SemEval-2025 Task 3: Detection of Hallucinations in Generated Text
SEMEVAL 2025
Attacks by Content: Automated Fact-checking is an AI Security Issue
EMNLP 2025
LAQuer: Localized Attribution Queries in Content-grounded Generation
ACL 2025
Detecting Omissions in LLM-Generated Medical Summaries
EMNLP 2025
iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English
SEMEVAL 2025
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
ACL 2025
FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple Languages
SEMEVAL 2025
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
AAAI 2025
Improved Unbiased Watermark for Large Language Models
ACL 2025
ML-Promise: A Multilingual Dataset for Corporate Promise Verification
EMNLP 2025
LogiDebrief: A Signal-Temporal Logic Based Automated Debriefing Approach with Large Language Models Integration
IJCAI 2025
A Systematic Survey of Claim Verification: Corpora, Systems, and Case Studies
EMNLP 2025
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
ACL 2025
MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Correction
EMNLP 2025
Learning to Verify Summary Facts with Fine-Grained LLM Feedback
COLING 2025
Claim veracity assessment for explainable fake news detection
COLING 2025
Prompt-Guided Internal States for Hallucination Detection of Large Language Models
ACL 2025
iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English
ACL 2025
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