"Transformer Working Memory Enables Regular Language Reasoning And Natural ..."

Ta-Chung Chi et al. (2023)

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DOI: 10.18653/V1/2023.FINDINGS-EMNLP.397

access: open

type: Conference or Workshop Paper

metadata version: 2024-04-12

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Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge:
Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation. EMNLP (Findings) 2023: 5972-5984

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