RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction | Paper Citation Record

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This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Flamingo: a Visual Language Model for Few-Shot Learning

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This paper cites SPICE: Semantic Propositional Image Caption Evaluation.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction SPICE: Semantic Propositional Image Caption Evaluation

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Qwen Technical Report

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Hallucination of Multimodal Large Language Models: A Survey

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This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

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This paper cites Gonzalez, Ion Stoica, and Eric P.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Gonzalez, Ion Stoica, and Eric P

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Benchmarking and Improving Detail Image Caption

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction A Survey on In-context Learning

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Improving CLIP Training with Language Rewrites

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Unresolved cited work

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This paper cites GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

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This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction CogVLM2: Visual Language Models for Image and Video Understanding

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction LoRA: Low-Rank Adaptation of Large Language Models

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

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This paper cites T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation.

RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Unresolved cited work

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction VeCLIP: Improving CLIP Training via Visual-enriched Captions

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Evaluating Text-to-Visual Generation with Image-to-Text Generation

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Improved Baselines with Visual Instruction Tuning

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Visual Instruction Tuning

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Decoupled Weight Decay Regularization

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction GPT-4o System Card

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Training language models to follow instructions with human feedback

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Gemini: A Family of Highly Capable Multimodal Models

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction CIDEr: Consensus-based Image Description Evaluation

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction CogVLM: Visual Expert for Pretrained Language Models

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Altogether: Image Captioning via Re-aligning Alt-text

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction CapsFusion: Rethinking Image-Text Data at Scale

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

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RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

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