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Is it true that tODO(en): arXiv:2610.35985v1 Announce Type: new Abstract: Conditional memory layers, such as DeepSeek's Engram, attach large hashed n-gram tables to a language model, and removing them from DeepSeek-V4.1-Flash costs 36.8 PopQA points?

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No conclusive verdict. TODO(en): arXiv:2610.35985v1 Announce Type: new Abstract: Conditional memory layers, such as DeepSeek's Engram, attach large hashed n-gram tables to a language model, and removing them from DeepSeek-V4.1-Flash costs 36.8 PopQA points. Low-bit quantization loses long-tail facts first, and the standar

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TODO(en): arXiv:2610.35985v1 Announce Type: new Abstract: Conditional memory layers, such as DeepSeek's Engram, attach large hashed n-gram tables to a language model, and removing them from DeepSeek-V4.1-Flash costs 36.8 PopQA points
Original source
arXiv cs.LG
Oct 28, 2026
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No stated deadline
Review due
Nov 27, 2026 ET

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TODO(en): arXiv:2610.35985v1 Announce Type: new Abstract: Conditional memory layers, such as DeepSeek's Engram, attach large hashed n-gram tables to a language model, and removing them from DeepSeek-V4.1-Flash costs 36.8 PopQA points. Low-bit quantization loses long-tail facts first, and the standar

Source: arXiv cs.LG
Quick answers
Are TODO(en): Let the Gate Decide: Per-Lookup Precision for Quantized Conditional Memory in LLMs out yet?
No official announcement as of Oct 29.
When are TODO(en): Let the Gate Decide: Per-Lookup Precision for Quantized Conditional Memory in LLMs expected?
No official release date as of Oct 29.
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