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Hallucination

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Showing 1676–1700 of 1816 papers

TitleStatusHype
Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused—0
Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-training—0
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network—0
Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost—0
Lynx: An Open Source Hallucination Evaluation Model—0
M2K-VDG: Model-Adaptive Multimodal Knowledge Anchor Enhanced Video-grounded Dialogue Generation—0
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions—0
Machine Mirages: Defining the Undefined—0
MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness—0
Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems—0
Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions—0
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection—0
Manipulating Attributes of Natural Scenes via Hallucination—0
MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation—0
Map&Make: Schema Guided Text to Table Generation—0
MARCO: Multi-Agent Real-time Chat Orchestration—0
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations—0
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection—0
Maximum Hallucination Standards for Domain-Specific Large Language Models—0
Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning—0
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing—0
Measuring and Reducing LLM Hallucination without Gold-Standard Answers—0
Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments—0
Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation—0
Measuring the Inconsistency of Large Language Models in Preferential Ranking—0
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