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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
Collections
Discover the best community collections!
Collections including paper arxiv:2502.02492
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One-Minute Video Generation with Test-Time Training
Paper • 2504.05298 • Published • 109 -
MoCha: Towards Movie-Grade Talking Character Synthesis
Paper • 2503.23307 • Published • 138 -
Towards Understanding Camera Motions in Any Video
Paper • 2504.15376 • Published • 159 -
Antidistillation Sampling
Paper • 2504.13146 • Published • 61
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Lightricks/LTX-Video
Image-to-Video • Updated • 695k • • 1.87k -
XLabs-AI/flux-RealismLora
Text-to-Image • Updated • 60.4k • • 1.18k -
tencent/HunyuanVideo
Text-to-Video • Updated • 3.91k • • 2.02k -
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Paper • 2502.02492 • Published • 67
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
-
One-Minute Video Generation with Test-Time Training
Paper • 2504.05298 • Published • 109 -
MoCha: Towards Movie-Grade Talking Character Synthesis
Paper • 2503.23307 • Published • 138 -
Towards Understanding Camera Motions in Any Video
Paper • 2504.15376 • Published • 159 -
Antidistillation Sampling
Paper • 2504.13146 • Published • 61
-
Lightricks/LTX-Video
Image-to-Video • Updated • 695k • • 1.87k -
XLabs-AI/flux-RealismLora
Text-to-Image • Updated • 60.4k • • 1.18k -
tencent/HunyuanVideo
Text-to-Video • Updated • 3.91k • • 2.02k -
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Paper • 2502.02492 • Published • 67