hallucination detection

CAP: Conformalized Abstention Policies for Context-Adaptive Risk Management for LLMs and VLMs ACML 2025 CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions NAACL 2025 CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models ACL 2025 CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation SemEval 2025 Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation EMNLP 2025 Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs ACL 2025 CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification AAAI 2025 CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models ACL 2025 COGUMELO at SemEval-2025 Task 3: A Synthetic Approach to Detecting Hallucinations in Language Models based on Named Entity Recognition SemEval 2025 Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts IJCNLP 2025 Controlling Equational Reasoning in Large Language Models with Prompt Interventions AAAI 2025 Core: Robust Factual Precision with Informative Sub-Claim Identification ACL 2025 Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence ACL 2025 DASH: Detection and Assessment of Systematic Hallucinations of VLMs ICCV 2025 Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025 Defining and Quantifying Visual Hallucinations in Vision-Language Models NAACL 2025 Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights SemEval 2025 Demystify Verbosity Compensation Behavior of Large Language Models EMNLP 2025 Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback AAAI 2025 Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis IJCAI 2025 Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification ACL 2025 Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions EMNLP 2025 Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service NAACL 2025 Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens CVPR 2025 DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation ACL 2025