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Hallucination

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Showing 651–675 of 1816 papers

TitleStatusHype
Bridging LMS and Generative AI: Dynamic Course Content Integration (DCCI) for Connecting LLMs to Course Content -- The Ask ME Assistant—0
Practical Poisoning Attacks against Retrieval-Augmented Generation—0
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language ModelsCode0
Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy—0
A Memory-Augmented LLM-Driven Method for Autonomous Merging of 3D Printing Work Orders—0
A Unified Virtual Mixture-of-Experts Framework:Enhanced Inference and Hallucination Mitigation in Single-Model System—0
The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances—0
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments—0
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of HallucinationsCode0
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation—0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
Learning to Instruct for Visual Instruction Tuning—0
Real-Time Evaluation Models for RAG: Who Detects Hallucinations Best?—0
Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack—0
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering—0
GAPO: Learning Preferential Prompt through Generative Adversarial Policy OptimizationCode0
Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy—0
TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes—0
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models—0
HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection—0
ShED-HD: A Shannon Entropy Distribution Framework for Lightweight Hallucination Detection on Edge Devices—0
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval—0
Judge Anything: MLLM as a Judge Across Any Modality—0
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