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kidult
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microsoft/Fara-7B
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ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44 -
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets
Paper • 2312.10253 • Published • 8 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 74 -
Mixtral of Experts
Paper • 2401.04088 • Published • 160
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DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
Paper • 2312.09767 • Published • 27 -
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models
Paper • 2312.09608 • Published • 16 -
StarVector: Generating Scalable Vector Graphics Code from Images
Paper • 2312.11556 • Published • 37
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DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
Paper • 2312.09767 • Published • 27 -
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models
Paper • 2312.09608 • Published • 16 -
StarVector: Generating Scalable Vector Graphics Code from Images
Paper • 2312.11556 • Published • 37
-
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44 -
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets
Paper • 2312.10253 • Published • 8 -
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts
Paper • 2401.04081 • Published • 74 -
Mixtral of Experts
Paper • 2401.04088 • Published • 160