The authors represent an agent’s context as a file that the model can update without a fixed menu of compaction, retrieval or offloading actions.
Language models can manage their own context more efficiently
Treating context as an editable file improved performance and reduced computation across research, coding and multi-agent tasks.
Top University
Rulin Shao · Shannon Zejiang Shen · Junjie Oscar Yin · Yuetai Li · Minheng Wang · Hamish Ivison · +7 more
University of Washington · Meta Superintelligence Labs · MIT · Trillium Labs
Research Digest··2 min read
Shao and colleagues introduce Context Language Models, or CLMs, which let a language model directly rewrite the information it retains rather than relying on an external harness to summarize or discard context.
Why this paper
From University of Washington and 3 others
In one line
Giving language models direct control over editable context improves long-horizon task performance while reducing inference compute compared with externally managed context.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ✓Reports numbers on named benchmarks (5 benchmarks)
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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