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Hallucination

Papers

Showing 851875 of 1816 papers

TitleStatusHype
FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering0
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs0
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning0
Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification0
Comparing Hallucination Detection Metrics for Multilingual Generation0
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models0
A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs0
Incremental Scene Synthesis0
Aligner: Efficient Alignment by Learning to Correct0
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue0
Ingest-And-Ground: Dispelling Hallucinations from Continually-Pretrained LLMs with RAG0
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs0
From "Hallucination" to "Suture": Insights from Language Philosophy to Enhance Large Language Models0
Comparing Computational Architectures for Automated Journalism0
From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs0
Instance-level Facial Attributes Transfer with Geometry-Aware Flow0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents0
DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models0
Comparative Study of Domain Driven Terms Extraction Using Large Language Models0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs0
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States0
Interpretable Zero-shot Learning with Infinite Class Concepts0
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment0
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