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Object Hallucination

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Showing 1–50 of 71 papers

TitleStatusHype
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V TrustworthinessCode11
MoE-LLaVA: Mixture of Experts for Large Vision-Language ModelsCode7
Ferret: Refer and Ground Anything Anywhere at Any GranularityCode5
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language ModelsCode2
Mitigating Object Hallucination via Concentric Causal AttentionCode2
Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language ModelsCode2
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast DecodingCode2
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingCode2
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language ModelsCode2
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language ModelsCode2
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language ModelsCode2
Evaluating Object Hallucination in Large Vision-Language ModelsCode2
Revisit What You See: Disclose Language Prior in Vision Tokens for Efficient Guided Decoding of LVLMsCode1
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive FinetuningCode1
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-InterventionCode1
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information FlowCode1
Extract Free Dense Misalignment from CLIPCode1
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided DecodingCode1
Multi-Object Hallucination in Vision-Language ModelsCode1
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided DecodingCode1
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language ModelsCode1
EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language ModelsCode1
Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color ConsistencyCode1
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption RewritesCode1
HallE-Control: Controlling Object Hallucination in Large Multimodal ModelsCode1
Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsCode1
Detecting and Preventing Hallucinations in Large Vision Language ModelsCode1
Transferable Decoding with Visual Entities for Zero-Shot Image CaptioningCode1
Let there be a clock on the beach: Reducing Object Hallucination in Image CaptioningCode1
HyperPocket: Generative Point Cloud CompletionCode1
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive DecodingCode0
Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding—0
Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language ModelsCode0
Visual Instruction Bottleneck Tuning—0
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
Seeing What's Not There: Spurious Correlation in Multimodal LLMs—0
OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting—0
EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens—0
Vision-Encoders (Already) Know What They See: Mitigating Object Hallucination via Simple Fine-Grained CLIPScoreCode0
The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting—0
CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base—0
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration—0
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs—0
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities—0
HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language ModelsCode0
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models—0
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language ModelsCode0
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination—0
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) ModelsCode0
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