hallucination detection

NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection SemEval 2024 Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination EMNLP 2024 NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT SemEval 2024 OctavianB at SemEval-2024 Task 6: An exploration of humanlike qualities of hallucinated LLM texts SemEval 2024 On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024 OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning AAAI 2024 OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data SemEval 2024 OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs EMNLP 2024 OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection ACL 2024 Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification EMNLP 2024 Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NeurIPS 2024 Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back SemEval 2024 Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024 Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output EMNLP 2024 RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation EMNLP 2024 RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models ACL 2024 Reconfidencing LLMs from the Grouping Loss Perspective EMNLP 2024 Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024 Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation ICLR 2024 Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space NeurIPS 2024 SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SemEval 2024 SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully EMNLP 2024 SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection SemEval 2024 Simple Token-Level Confidence Improves Caption Correctness WACV 2024 SLPL SHROOM at SemEval2024 Task 06 : A comprehensive study on models ability to detect hallucination SemEval 2024