You don't need long context
The paper argues that later tokens cost more to generate than earlier ones, with the disparity possibly reaching 7x on frontier open-weight models.
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- Primary sourceHugging Face
- Discovery linkHugging Face
- Linked in sourceView arXiv page
- Linked in sourceView PDF
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The paper argues that later tokens cost more to generate than earlier ones, with the disparity possibly reaching 7x on frontier open-weight models. Using frequent context compaction across long-horizon and long-input tasks, the authors report that frontier language models sacrifice little to no accuracy when keeping contexts short. They also report that performance on long-horizon software engineering tasks does not collapse even when taking at most one action per context. Based on this, they outline semantic state space models (SSSMs) and question the need for long-context language models.
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Later tokens are costlier to generate than earlier ones, with disparity possibly up to 7x on frontier open-weight models.
Source: Hugging Face ↗Stored source-based brief · key point 1 · AINewsIQ paraphraseFrequent context compaction preserves little to no task accuracy loss across broad long-horizon and long-input tasks.
Source: Hugging Face ↗Stored source-based brief · key point 2 · AINewsIQ paraphraseLLM performance does not collapse on long-horizon software engineering tasks when taking at most one action per context.
Source: Hugging Face ↗Stored source-based brief · key point 3 · AINewsIQ paraphraseThe authors outline semantic state space models (SSSMs) as a concept motivated by these findings.
Source: Hugging Face ↗Stored source-based brief · key point 4 · AINewsIQ paraphraseLimits from the stored brief
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- Version 1 · published
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Why this may matter
If short contexts with frequent compaction retain accuracy, inference costs for long-horizon agentic work could fall substantially, questioning reliance on long-context model architectures.
Limits and open questions
Source claims not independently checked; the summary is drawn from the abstract and page text supplied, and the full experimental setup and task breakdown were not available.
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