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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 22 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 82 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2404.09833
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Freditor: High-Fidelity and Transferable NeRF Editing by Frequency Decomposition
Paper • 2404.02514 • Published • 9 -
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance
Paper • 2404.08252 • Published • 6 -
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
Paper • 2404.09833 • Published • 29 -
MeshLRM: Large Reconstruction Model for High-Quality Mesh
Paper • 2404.12385 • Published • 26
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Seamless Human Motion Composition with Blended Positional Encodings
Paper • 2402.15509 • Published • 14 -
TripoSR: Fast 3D Object Reconstruction from a Single Image
Paper • 2403.02151 • Published • 12 -
3D-VLA: A 3D Vision-Language-Action Generative World Model
Paper • 2403.09631 • Published • 7 -
Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
Paper • 2403.09981 • Published • 6
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Amphion: An Open-Source Audio, Music and Speech Generation Toolkit
Paper • 2312.09911 • Published • 53 -
GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning
Paper • 2312.11461 • Published • 18 -
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
Paper • 2312.14239 • Published • 10 -
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Paper • 2312.16256 • Published • 15