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Hallucination

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Showing 1076–1100 of 1816 papers

TitleStatusHype
GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding—0
Global-Local Face Upsampling Network—0
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval—0
Good Parenting is all you need -- Multi-agentic LLM Hallucination Mitigation—0
GOOD: Towards Domain Generalized Orientated Object Detection—0
GPT-4V(ision) as A Social Media Analysis Engine—0
GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration—0
GPT as a Monte Carlo Language Tree: A Probabilistic Perspective—0
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation—0
Gradient Projection For Continual Parameter-Efficient Tuning—0
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models—0
Granary: Speech Recognition and Translation Dataset in 25 European Languages—0
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey—0
GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework—0
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments—0
Grounded in Context: Retrieval-Based Method for Hallucination Detection—0
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation—0
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs—0
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation—0
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling—0
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds—0
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing—0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres—0
Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models—0
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