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Collections including paper arxiv:2406.11832

about 15 hours ago

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

about 18 hours ago

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

Paper • 2402.04252 • Published Feb 6 • 24
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

Multi-modality LVM

about 20 hours ago

VoCo-LLaMA: Towards Vision Compression with Large Language Models

Paper • 2406.12275 • Published Jun 18 • 29
TroL: Traversal of Layers for Large Language and Vision Models

Paper • 2406.12246 • Published Jun 18 • 34
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Paper • 2406.15334 • Published Jun 21 • 8
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Paper • 2406.12742 • Published Jun 18 • 14

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models

Paper • 2406.17294 • Published Jun 25 • 10
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

Paper • 2406.19389 • Published Jun 27 • 52
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model

Paper • 2406.20076 • Published Jun 28 • 8
PicoAudio: Enabling Precise Timestamp and Frequency Controllability of Audio Events in Text-to-audio Generation

Paper • 2407.02869 • Published Jul 3 • 18

vision language models (VLM)

PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 64
Vision language models are blind

Paper • 2407.06581 • Published Jul 9 • 80
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging

Paper • 2407.07315 • Published Jul 10 • 6
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision

Paper • 2407.06189 • Published Jul 8 • 24

Papers - Multimodal - Training - LLM Guided Pre-training

Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

Papers - Multimodal - Training - Loss - Cross Entropy

Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

Papers - Attention - Decoder Only

Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

Papers - Multimodal - Training - Patch Aligning Layer

Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

Papers - Multimodal - Training - Decoder Only

Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

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