Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers - researchr publication

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Atsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo. Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers. In Vera Demberg, Kentaro Inui, Lluís Marquez, editors, Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29, 2026. pages 4966-4980, Association for Computational Linguistics, 2026. [doi]

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