Mid-Training Data for LLM
4IKid
uzeroj
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m-a-p/YuE2-3BOrganizations
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Some Upcoming Benchmarks: 1. https://github.com/zackhuiiiii/WinSpot
This collection gathers clean multimodal datasets for VLM supervised fine-tuning. Covering visual QA, image dialogue and document reasoning.
Win
Data to train web agent.
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LFM2 Technical Report
Paper • 2511.23404 • Published • 74 -
Artificial Hippocampus Networks for Efficient Long-Context Modeling
Paper • 2510.07318 • Published • 32 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 236 -
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Paper • 2410.20672 • Published • 10
Mid-Training Data for LLM
Some Upcoming Benchmarks: 1. https://github.com/zackhuiiiii/WinSpot
Win
Data to train web agent.
This collection gathers clean multimodal datasets for VLM supervised fine-tuning. Covering visual QA, image dialogue and document reasoning.
-
LFM2 Technical Report
Paper • 2511.23404 • Published • 74 -
Artificial Hippocampus Networks for Efficient Long-Context Modeling
Paper • 2510.07318 • Published • 32 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 236 -
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Paper • 2410.20672 • Published • 10