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Xiaoye Qu XiaoYee
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Researcher in Shanghai AI Lab.
Research on Model Architecture, Multimodal Reasoning, and Efficient Reasoning.
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pjlab-sys4nlp/llama-moe
pjlab-sys4nlp/llama-moe Public⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
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OpenSparseLLMs/LLaMA-MoE-v2
OpenSparseLLMs/LLaMA-MoE-v2 Public🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
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CSfufu/Revisual-R1
CSfufu/Revisual-R1 Public🚀ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learning—to ...
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zhaochen0110/OpenThinkIMG
zhaochen0110/OpenThinkIMG PublicOpenThinkIMG is an end-to-end open-source framework that empowers LVLMs to think with images.
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Awesome_Efficient_LRM_Reasoning
Awesome_Efficient_LRM_Reasoning Public😎 A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, Agent, and Beyond
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emotion_classification
emotion_classification Public🤗 Facial expression recognition with Pytorch (My First Project in 2018)
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