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Hallucination

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Showing 1101–1125 of 1816 papers

TitleStatusHype
Enhanced document retrieval with topic embeddings—0
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs—0
Cognitive LLMs: Towards Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-making—0
Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused—0
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions—0
Plan with Code: Comparing approaches for robust NL to DSL generation—0
CodeMirage: Hallucinations in Code Generated by Large Language Models—0
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability—0
Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection—0
Reference-free Hallucination Detection for Large Vision-Language Models—0
Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text—0
FiSTECH: Financial Style Transfer to Enhance Creativity without Hallucinations in LLMs—0
Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-ModelsCode0
Handwritten Code Recognition for Pen-and-Paper CS EducationCode0
KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models—0
MAO: A Framework for Process Model Generation with Multi-Agent Orchestration—0
Improving Zero-Shot ObjectNav with Generative Communication—0
Misinforming LLMs: vulnerabilities, challenges and opportunities—0
Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models—0
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
Cost-Effective Hallucination Detection for LLMs—0
Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate—0
VILA^2: VILA Augmented VILA—0
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries—0
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