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Collections including paper arxiv:2406.17720

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

Paper • 2407.09413 • Published Jul 12 • 9
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28 • 93
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity

Paper • 2406.17720 • Published Jun 25 • 7
LiveBench: A Challenging, Contamination-Free LLM Benchmark

Paper • 2406.19314 • Published Jun 27 • 17

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Paper • 2406.17557 • Published Jun 25 • 84
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Paper • 2406.16860 • Published Jun 24 • 55
Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity

Paper • 2406.17720 • Published Jun 25 • 7
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28 • 93

Papers - Image - Datasets - Biology - Arboretum

Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity

Paper • 2406.17720 • Published Jun 25 • 7

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iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24 • 11
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 52
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 84
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27 • 30

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13 • 16
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24 • 13
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20 • 13
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 29

Papers - Image - Clip

Demystifying CLIP Data

Paper • 2309.16671 • Published Sep 28, 2023 • 19
Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28 • 10
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19
On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3 • 17

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation

Paper • 2403.06775 • Published Mar 11 • 3
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Paper • 2010.11929 • Published Oct 22, 2020 • 6
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition

Paper • 2110.07040 • Published Oct 13, 2021 • 2
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks

Paper • 1811.00056 • Published Oct 31, 2018 • 2

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 36
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

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