Kimi k1.5: Scaling Reinforcement Learning with LLMs
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2501.12599
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Zesen Cheng
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multi-modal foundation model; Segmentation, Detection, and Tracking;
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Kimi k1.5: Scaling Reinforcement Learning with LLMs
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via
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OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
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2501.09751
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Towards Best Practices for Open Datasets for LLM Training
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2501.08365
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55
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents
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2501.08828
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Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding
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2501.07888
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MiniMax-01: Scaling Foundation Models with Lightning Attention
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2501.08313
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Valley2: Exploring Multimodal Models with Scalable Vision-Language Design
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2501.05901
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Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders
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2408.15998
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86
Language Model Can Listen While Speaking
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2408.02622
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