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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
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
EMNLP 2025
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
EMNLP 2025
Recon, Answer, Verify: Agents in Search of Truth
EMNLP 2025
Team FMD LLM at the Financial Misinformation Detection Challenge Task: Exploring Task Structuring and Metadata Impact on Performance
COLING 2025
SemQA: Evaluating Evidence with Question Embeddings and Answer Entailment for Fact Verification
ACL 2025
A Systematic Survey of Claim Verification: Corpora, Systems, and Case Studies
EMNLP 2025
Dunamu ML at the Financial Misinformation Detection Challenge Task: Improving Supervised Fine-Tuning with LLM-based Data Augmentation
COLING 2025
1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
COLING 2025
Overview of the SciHal25 Shared Task on Hallucination Detection for Scientific Content
ACL 2025
VeriFastScore: Speeding up long-form factuality evaluation
EMNLP 2025
AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation
EMNLP 2025
Capybara at the Financial Misinformation Detection Challenge Task: Chain-of-Thought Enhanced Financial Misinformation Detection
COLING 2025
TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim Retrieval
ACL 2025
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
ACL 2025
ipezoTU at SemEval-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-Checking
ACL 2025
fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval
ACL 2025
Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknownan
EMNLP 2025
Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
EMNLP 2025
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
AAAI 2025
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
AAAI 2025
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
AAAI 2025
Towards Verifiable Text Generation with Generative Agent
AAAI 2025
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
AAAI 2025
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
AAAI 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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