The paper introduces Context Language Models (CLMs), an architecture that reframes language modeling by incorporating explicit context modeling rather than relying solely on self-attention over raw tokens. This approach aims to improve efficiency and interpretability by structuring how context is integrated into prediction.
Background
Large language models have predominantly relied on transformer-based self-attention architectures since 2017. This work explores alternative paradigms for context integration that could offer computational and interpretability advantages.
- Source
- Hacker News (RSS)
- Published
- Oct 1, 2026 at 10:51 PM
- Score
- 7.0 / 10