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Object Hallucination
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding
Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models
Visual Instruction Bottleneck Tuning
A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language Models
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention
OmniPaint: Mastering Object-Oriented Editing via Disentangled Insertion-Removal Inpainting
Seeing What's Not There: Spurious Correlation in Multimodal LLMs
EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Vision-Encoders (Already) Know What They See: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting
CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities
HALLUCINOGEN: A Benchmark for Evaluating Object Hallucination in Large Visual-Language Models
Extract Free Dense Misalignment from CLIP
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models
Unified Triplet-Level Hallucination Evaluation for Large Vision-Language Models
Mitigating Object Hallucination via Concentric Causal Attention
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
Understanding Multimodal Hallucination with Parameter-Free Representation Alignment
Multi-Object Hallucination in Vision-Language Models
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?
Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models
Data-augmented phrase-level alignment for mitigating object hallucination
Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks
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