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Rotary Positional Embeddings

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2026-02-23

andlukyane.com

large-language-models

Beyond Positional Bias: How DroPE Unlocks Zero-Shot Long Context in LLMs

DroPE, a method that removes positional embeddings from pretrained large language models (LLMs) after training to enable zero-shot generalization to sequences far longer than their original training c…

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DroPE 1 NoPE 1

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large language models 1 research 1 artificial intelligence 1 machine learning 1