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Collections including paper arxiv:2409.01071

about 10 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 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27 • 30

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

Distilling Vision-Language Models on Millions of Videos

Paper • 2401.06129 • Published Jan 11 • 14
Koala: Key frame-conditioned long video-LLM

Paper • 2404.04346 • Published Apr 5 • 5
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding

Paper • 2404.05726 • Published Apr 8 • 20
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

Paper • 2406.07471 • Published Jun 11

about 1 month ago

Extending Llama-3's Context Ten-Fold Overnight

Paper • 2404.19553 • Published Apr 30 • 33
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks

Paper • 2407.08454 • Published Jul 11
VideoLLaMB: Long-context Video Understanding with Recurrent Memory Bridges

Paper • 2409.01071 • Published Sep 2 • 26
Spinning the Golden Thread: Benchmarking Long-Form Generation in Language Models

Paper • 2409.02076 • Published Sep 3 • 9

Vision Language Models

BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18 • 24
TextSquare: Scaling up Text-Centric Visual Instruction Tuning

Paper • 2404.12803 • Published Apr 19 • 29
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Paper • 2404.13013 • Published Apr 19 • 30
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9 • 29

Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs

Paper • 2403.12596 • Published Mar 19 • 9
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Paper • 2404.13013 • Published Apr 19 • 30
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25 • 35
AlignGPT: Multi-modal Large Language Models with Adaptive Alignment Capability

Paper • 2405.14129 • Published May 23 • 12

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