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Hallucination

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Showing 576–600 of 1816 papers

TitleStatusHype
Ornithologist: Towards Trustworthy "Reasoning" about Central Bank Communications—0
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation—0
Prioritizing Image-Related Tokens Enhances Vision-Language Pre-TrainingCode0
Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification—0
On the Cost and Benefits of Training Context with Utterance or Full Conversation Training: A Comparative Stud—0
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion—0
Critique Before Thinking: Mitigating Hallucination through Rationale-Augmented Instruction Tuning—0
Multimodal Survival Modeling in the Age of Foundation ModelsCode0
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking—0
Evolutionary thoughts: integration of large language models and evolutionary algorithmsCode0
Osiris: A Lightweight Open-Source Hallucination Detection System—0
Interpretable Zero-shot Learning with Infinite Class Concepts—0
Mitigating Image Captioning Hallucinations in Vision-Language Models—0
Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation—0
UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM OutputCode0
SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation—0
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models—0
Regression is all you need for medical image translationCode0
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer—0
Multi-agents based User Values Mining for Recommendation—0
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided DistillationCode0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models—0
Efficient and robust 3D blind harmonization for large domain gaps—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
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