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How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 56 -
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings
Paper • 2404.16820 • Published • 16 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 13
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Collections including paper arxiv:2404.16030
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CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 27 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 13 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 47 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 29
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MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 13 -
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 67 -
Data curation via joint example selection further accelerates multimodal learning
Paper • 2406.17711 • Published • 3 -
Unveiling Encoder-Free Vision-Language Models
Paper • 2406.11832 • Published • 51