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Learning to Decode Collaboratively with Multiple Language Models
Paper • 2403.03870 • Published • 18 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 41 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 18
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Collections including paper arxiv:2403.05438
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VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 18 -
Chronos: Learning the Language of Time Series
Paper • 2403.07815 • Published • 45 -
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU
Paper • 2403.06504 • Published • 53 -
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
Paper • 2211.07600 • Published
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ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Paper • 2403.05135 • Published • 42 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 18 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 75 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 39
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Video as the New Language for Real-World Decision Making
Paper • 2402.17139 • Published • 18 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 31 -
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies
Paper • 2403.01422 • Published • 26 -
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models
Paper • 2403.05438 • Published • 18
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 38 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 19
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 80 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
Paper • 2312.10835 • Published • 6 -
LIME: Localized Image Editing via Attention Regularization in Diffusion Models
Paper • 2312.09256 • Published • 8 -
PromptBench: A Unified Library for Evaluation of Large Language Models
Paper • 2312.07910 • Published • 15 -
Prompt Expansion for Adaptive Text-to-Image Generation
Paper • 2312.16720 • Published • 5