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Hallucination

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Showing 601–625 of 1816 papers

TitleStatusHype
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges—0
A Debate-Driven Experiment on LLM Hallucinations and Accuracy—0
MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming—0
Conditional Hallucinations for Image Compression—0
Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models—0
TimeSuite: Improving MLLMs for Long Video Understanding via Grounded TuningCode2
Multilingual Hallucination Gaps in Large Language Models—0
Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination—0
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models—0
ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMsCode0
Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers—0
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination—0
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks—0
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing—0
Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language ModelsCode0
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine—0
Fine-Tuning Large Language Models to Appropriately Abstain with Semantic Entropy—0
Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight—0
Large language models enabled multiagent ensemble method for efficient EHR data labeling—0
ToW: Thoughts of Words Improve Reasoning in Large Language ModelsCode0
Mitigating Object Hallucination via Concentric Causal AttentionCode2
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding—0
Learning to Generate and Evaluate Fact-checking Explanations with Transformers—0
Can Knowledge Editing Really Correct Hallucinations?Code1
NetSafe: Exploring the Topological Safety of Multi-agent Networks—0
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