Papers2

#Long-context inference

Token Sparse Attention: Efficient Long-Context Inference with Interleaved Token Selection

Dongwon Jo, Beomseok Kang et al.Feb 3arXiv

This paper speeds up how AI models read very long texts by carefully choosing which words (tokens) to focus on at each step.

#Token Sparse Attention#Dynamic Token Coverage#Representation Drift

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LongCat-Flash-Thinking-2601 Technical Report

Beginner

Meituan LongCat Team, Anchun Gui et al.Jan 23arXiv

LongCat-Flash-Thinking-2601 is a huge 560-billion-parameter Mixture-of-Experts model built to act like a careful helper that can use tools, browse, code, and solve multi-step tasks.

#Agentic reasoning#Mixture-of-Experts#Asynchronous reinforcement learning

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