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PAS: Data-Efficient Plug-and-Play Prompt Augmentation System
Paper • 2407.06027 • Published • 8 -
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models
Paper • 2407.09025 • Published • 131 -
Toto: Time Series Optimized Transformer for Observability
Paper • 2407.07874 • Published • 30 -
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
Paper • 2407.09413 • Published • 10
Collections
Discover the best community collections!
Collections including paper arxiv:2407.06581
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MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22 -
VILA^2: VILA Augmented VILA
Paper • 2407.17453 • Published • 40 -
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
Paper • 2407.08583 • Published • 10 -
Vision language models are blind
Paper • 2407.06581 • Published • 83
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RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 66 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 127 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87
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A Survey on Hallucination in Large Vision-Language Models
Paper • 2402.00253 • Published -
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance
Paper • 2402.08680 • Published • 1 -
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Paper • 2402.13220 • Published • 13 -
FGAIF: Aligning Large Vision-Language Models with Fine-grained AI Feedback
Paper • 2404.05046 • Published
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AQuA: A Benchmarking Tool for Label Quality Assessment
Paper • 2306.09467 • Published • 1 -
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Paper • 2404.07972 • Published • 46 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 24 -
Vision language models are blind
Paper • 2407.06581 • Published • 83
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FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation
Paper • 2403.06775 • Published • 3 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 7 -
Data Incubation -- Synthesizing Missing Data for Handwriting Recognition
Paper • 2110.07040 • Published • 2 -
A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
Paper • 1811.00056 • Published • 2
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Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Paper • 2402.17177 • Published • 88 -
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Paper • 2402.17485 • Published • 190 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 44 -
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Paper • 2403.04692 • Published • 39
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ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
Paper • 2403.01807 • Published • 7 -
TripoSR: Fast 3D Object Reconstruction from a Single Image
Paper • 2403.02151 • Published • 12 -
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Paper • 2403.01779 • Published • 28 -
MagicClay: Sculpting Meshes With Generative Neural Fields
Paper • 2403.02460 • Published • 6
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 40 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 20