COLM 2026 Paper: LLMs Store Facts at Information-Theoretically Optimal Rate in MLP Weights
HazyResearch · x · 2026-10-07
- New COLM 2026 work from Hazy Research shows LLMs store facts in MLP weights at the information-theoretically optimal rate.
- The team gives a closed-form recipe to construct fact-storing, Transformer-ready MLPs without any training.
- The construction remains usable within transformer blocks for factual recall, shedding light on how knowledge is packed into model weights.
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