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cs.LG2025★ 1 cited
Rethinking RoPE: A Mathematical Blueprint for N-dimensional Positional Embedding
Haiping Liu, Lijing Lin, Jingyuan Sun +3
Rotary Position Embedding (RoPE) is widely adopted in large language models (LLMs) due to its efficient encoding of relative positions with strong extrapolation capabilities. Howev…
cs.CV2025
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study
Yizheng Sun, Hao Li, Chang Xu +4
Vision-Language Models (VLMs) are powerful yet computationally intensive for widespread practical deployments. To address such challenge without costly re-training, post-training a…