# Google Research — Making LLMs more accurate by using all of their layers

- Company: Google Research (research.google)
- Announced: 2025-09-17T17:00:00+00:00
- Category: research-paper
- Subject: Research
- Source: https://research.google/blog/making-llms-more-accurate-by-using-all-of-their-layers/
- Record: https://forck.live/items/1419-making-llms-more-accurate-by-using-all-of-their-layers

Google Research introduces SLED (Self Logits Evolution Decoding), a decoding strategy that improves LLM factual accuracy by using all layers of the model rather than just the last layer. It requires no external data or fine-tuning and was featured at NeurIPS 2024.

## Evidence

Verbatim from https://research.google/blog/making-llms-more-accurate-by-using-all-of-their-layers/:

> We introduce SLED, a decoding strategy that enhances the accuracy of LLMs by aligning their output with the model’s intrinsic knowledge, without the need for external data or additional fine-tuning.

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Record: https://forck.live/items/1419-making-llms-more-accurate-by-using-all-of-their-layers
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md