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Collections including paper arxiv:2411.14982

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 12
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 31

Remember, Retrieve and Generate: Understanding Infinite Visual Concepts as Your Personalized Assistant

Paper • 2410.13360 • Published Oct 17, 2024 • 8
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning

Paper • 2411.18203 • Published Nov 27, 2024 • 33
Towards Interpreting Visual Information Processing in Vision-Language Models

Paper • 2410.07149 • Published Oct 9, 2024 • 1
Understanding Alignment in Multimodal LLMs: A Comprehensive Study

Paper • 2407.02477 • Published Jul 2, 2024 • 21

The collection of the sae that hooked on llava

about 4 hours ago

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 16
lmms-lab/llava-sae-explanations-5k

Viewer • Updated Nov 22, 2024 • 9.8k • 461 • 3
lmms-lab/llama3-llava-next-8b-hf-sae-131k

Updated Nov 26, 2024 • 22 • 1
lmms-lab/sae-sample-cache-dataset

Viewer • Updated Nov 26, 2024 • 46.7k • 565

MutiModal_Paper

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation

Paper • 2410.13861 • Published Oct 17, 2024 • 53
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation

Paper • 2411.07975 • Published Nov 12, 2024 • 27
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Paper • 2411.10442 • Published Nov 15, 2024 • 71
Multimodal Autoregressive Pre-training of Large Vision Encoders

Paper • 2411.14402 • Published Nov 21, 2024 • 43

Multimodal Analysis

Analyzing The Language of Visual Tokens

Paper • 2411.05001 • Published Nov 7, 2024 • 23
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 16
Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration

Paper • 2411.17686 • Published Nov 26, 2024 • 19

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 33
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 26
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 121
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 21

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 16

about 4 hours ago

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

Paper • 2402.04252 • Published Feb 6, 2024 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 40
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 20

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