Research

LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling

LPC-SM combines local predictive coding with sparse memory mechanisms to improve computational efficiency in long-context language modeling, reducing overhead for extended token sequences without sacrificing performance.

Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline

Research paper proposing LPC-SM, a technique combining Local Predictive Coding and Sparse Memory to improve long-context language modeling. Addresses efficiency and scalability challenges in handling longer token sequences.

Read original at arXiv CS.CL (Computation & Language)

Trump administration cites national security in stalling 165 wind farms

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