A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models | Paper Citation Record

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models URL: " 'urlintro :=

Reference 1

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models write newline

Reference 2

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Lawrence Zitnick, and Devi Parikh

Reference 5

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This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models On the Opportunities and Risks of Foundation Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Language Models are Few-Shot Learners

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This paper cites A Unified Hallucination Mitigation Framework for Large Vision-Language Models.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models A Unified Hallucination Mitigation Framework for Large Vision-Language Models

Reference 10

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

Reference 13

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Gonzalez, Ion Stoica, and Eric P

Reference 14

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Glass, and Pengcheng He

Reference 15

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 16

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models MultiModal-GPT: A Vision and Language Model for Dialogue with Humans

Reference 19

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This paper cites Detecting and Preventing Hallucinations in Large Vision Language Models.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Detecting and Preventing Hallucinations in Large Vision Language Models

Reference 20

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Conditional probing: measuring usable information beyond a baseline

Reference 21

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Reference 22

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Shamma, Michael S

Reference 28

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

Reference 29

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This paper cites http://www.cs.toronto.edu/ kriz/cifar.html Cifar-100 (canadian institute for advanced research).

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models http://www.cs.toronto.edu/ kriz/cifar.html Cifar-100 (canadian institute for advanced research)

Reference 30

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This paper cites Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

Reference 31

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Otter: A Multi-Modal Model with In-Context Instruction Tuning

Reference 32

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Vi \' e gas, Hanspeter Pfister, and Martin Wattenberg

Reference 33

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Silkie: Preference Distillation for Large Visual Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll \' a r, and C

Reference 38

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 42

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Improved Baselines with Visual Instruction Tuning

Reference 43

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Visual Instruction Tuning

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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This paper cites Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models

Reference 46

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 48

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 54

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Woodpecker: Hallucination Correction for Multimodal Large Language Models

Reference 59

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Reference 60

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

Reference 61

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Unresolved cited work

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

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A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 67

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