Context Language Models: letting LMs manage their own context beats human-designed SOTA
RulinShao · x · 2026-09-30
Researchers led by Rulin Shao introduce Context Language Models (CLMs), arguing for a "Bitter Lesson for context management": giving LMs unrestricted control over their own context outperforms human-designed SOTA harnesses.
- CLMs natively manage their own context, treating it as a file
- Context-management policies are learned directly into model weights, with no external harness
- The authors report this beats hand-engineered context engineering approaches
Related event: Meta's Context Language Models Let Models Edit Their Own Context(11 posts)→
More from Research
- arXiv submissions hit liftoff: real AI-accelerated research or slop flood? — CSProfKGD · 2026-10-02
- Cortical Feedback Loops Slash Neural Variability by 93% to Keep Vision Stable — DrKavner · 2026-10-02
- Neurosymbolic AI: The 3rd Wave lands in Web of Science's top 1% most-cited papers — luislamb · 2026-10-02
- Arc Institute Builds High-Quality Perturb-seq Data for the 2026 Virtual Cell Challenge — anshulkundaje · 2026-10-02
- Frontier AI models now beat CPAs on accounting tasks that humans won as of May 2025 — soumitrashukla9 · 2026-10-02
- arXiv Now Caps Submitters at Two Submissions per Calendar Month — Nunki08 · 2026-10-02