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Collections including paper arxiv:2406.11832

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

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

OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

Paper • 2406.19389 • Published Jun 27 • 52
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Paper • 2406.17557 • Published Jun 25 • 82
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Paper • 2407.02485 • Published Jul 2 • 5
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1 • 84

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

Paper • 2406.17294 • Published Jun 25 • 10
TokenPacker: Efficient Visual Projector for Multimodal LLM

Paper • 2407.02392 • Published Jul 2 • 21
Understanding Alignment in Multimodal LLMs: A Comprehensive Study

Paper • 2407.02477 • Published Jul 2 • 21
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Paper • 2407.03320 • Published Jul 3 • 92

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