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MoonKuun

MoonKuun

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upvoted a paper 26 days ago

F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data

upvoted a paper 5 months ago

Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions

upvoted a paper 5 months ago

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM

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upvoted a paper 26 days ago

F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data

Paper • 2510.02294 • Published Oct 2 • 43

upvoted 3 papers 5 months ago

Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions

Paper • 2410.06577 • Published Oct 9, 2024 • 14

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM

Paper • 2503.17793 • Published Mar 22 • 23

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Paper • 2505.16901 • Published May 22 • 47

upvoted a paper 8 months ago

VideoGrain: Modulating Space-Time Attention for Multi-grained Video Editing

Paper • 2502.17258 • Published Feb 24 • 79