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cs.CL2026
Sparse Attention Is Matrix Approximation, Not Choosing from a Bag of Values
Fang Wan, Xufeng Liu, Fan Li +1
Large Language Models (LLMs) achieve strong performance across many domains, but their efficiency is limited by the quadratic cost of attention with respect to prompt length. Spars…
cs.CL2025
Geometric-Mean Policy Optimization
Yuzhong Zhao, Yue Liu, Junpeng Liu +9
Group Relative Policy Optimization (GRPO) has significantly enhanced the reasoning capability of large language models by optimizing the arithmetic mean of token-level rewards. Unf…