Collections
Discover the best community collections!
Collections including paper arxiv:2501.09038
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Video Creation by Demonstration
Paper • 2412.09551 • Published • 8 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 45 -
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 71 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38
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Generative World Explorer
Paper • 2411.11844 • Published • 75 -
Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation
Paper • 2501.04144 • Published • 18 -
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
Paper • 2501.04689 • Published • 16 -
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
Paper • 2501.01320 • Published • 11
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Scaling Law with Learning Rate Annealing
Paper • 2408.11029 • Published • 3 -
Token Turing Machines
Paper • 2211.09119 • Published • 1 -
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Paper • 2203.12602 • Published -
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
Paper • 2305.13035 • Published
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 13 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 31
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published • 1 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 15 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 6
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Compression Represents Intelligence Linearly
Paper • 2404.09937 • Published • 27 -
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Paper • 2404.06395 • Published • 22 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 36 -
Are large language models superhuman chemists?
Paper • 2404.01475 • Published • 17
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 90 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 18 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 26
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BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 26 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 30 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 31 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 30
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GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 189 -
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Paper • 2311.16502 • Published • 35 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 26 -
RULER: What's the Real Context Size of Your Long-Context Language Models?
Paper • 2404.06654 • Published • 35