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Hallucination

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Showing 1101–1125 of 1816 papers

TitleStatusHype
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisCode2
Learning From Correctness Without Prompting Makes LLM Efficient ReasonerCode1
Are Large Language Models Good at Utility Judgments?Code0
JDocQA: Japanese Document Question Answering Dataset for Generative Language ModelsCode1
FACTOID: FACtual enTailment fOr hallucInation Detection—0
Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question AnsweringCode1
"Sorry, Come Again?" Prompting -- Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing—0
Mechanistic Understanding and Mitigation of Language Model Non-Factual HallucinationsCode0
A Diffusion-Based Generative Equalizer for Music RestorationCode2
Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge Feedback—0
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language ModelsCode0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
DGoT: Dynamic Graph of Thoughts for Scientific Abstract GenerationCode0
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator PredictionCode1
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination—0
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art—0
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models—0
Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information—0
Sphere Neural-Networks for Rational Reasoning—0
Pensieve: Retrospect-then-Compare Mitigates Visual HallucinationCode1
Multi-Modal Hallucination Control by Visual Information Grounding—0
What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal ModelsCode1
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsCode3
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors—0
Zero-Shot Multi-task Hallucination Detection—0
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