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Collections including paper arxiv:2406.08085

about 12 hours ago

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 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5 • 31
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams

Paper • 2406.08085 • Published Jun 12 • 13

Multi-modality LVM

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

video llm works

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25 • 35
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15 • 31
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14 • 13

MoEs papers reading list

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 4
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 4
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

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