Fact-Checking

Conflict-Aware Soft Prompting for Retrieval-Augmented Generation EMNLP 2025 Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts IJCNLP 2025 Core: Robust Factual Precision with Informative Sub-Claim Identification ACL 2025 CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking NAACL 2025 Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge ACL 2025 Correcting on Graph: Faithful Semantic Parsing over Knowledge Graphs with Large Language Models ACL 2025 COVE: COntext and VEracity prediction for out-of-context images NAACL 2025 CSECU-DSG at SemEval-2025 Task 6: Exploiting Multilingual Feature Fusion-based Approach for Corporate Promise Verification SemEval 2025 Dataset of News Articles with Provenance Metadata for Media Relevance Assessment ACL 2025 Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models EMNLP 2025 Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories ACL 2025 Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance? NAACL 2025 DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts ICML 2025 Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights SemEval 2025 Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models COLING 2025 Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models EMNLP 2025 Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification ACL 2025 Detecting Omissions in LLM-Generated Medical Summaries EMNLP 2025 Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service NAACL 2025 DiNaM: Disinformation Narrative Mining with Large Language Models EMNLP 2025 Dis2Dis: Explaining Ambiguity in Fact-Checking NAACL 2025 Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering EMNLP 2025 DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation EMNLP 2025 Document Attribution: Examining Citation Relationships using Large Language Models ACL 2025 Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim Retrieval SemEval 2025