MEMENTO: Learning Context Management for Long Context Processing Agents

Not provided in the abstract

context managementreinforcement learninglong-context processing

2611.00244

Builder Relevance

80%

2h ago

Abstract

MEMENTO is a long-context agent that effectively manages context through compaction, improving accuracy in question answering tasks.

Reality Card

Core Claim

MEMENTO improves the accuracy of Qwen3-8B from 36.9% to 67.8% on book-level question answering while maintaining a context size of no more than 20K tokens.

Method / Result

Achieved a 30.9% increase in accuracy on book-level question answering across four benchmarks.

Limitations

The training relies on synthetic trajectories which may limit generalizability to real-world scenarios.

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