Zedong Liu, Jiaan Wu, Xinyang Ma, Le Xu, Kai Wang, Yuanchao Hu, Dingwen Tao, Guangming Tan (Institute of Computing Technology) · Token-efficient agent reading
Read Less, Solve More: Token-Efficient Sparse Reading of External Content for AI Agents
The paper presents SparseRead, a control layer that limits how much external content (webpages, documents, repositories, tool responses) an agent reads, without modifying the agent model. Across six models, including Claude Opus 5, and five scenarios, it reduces total tokens by up to 92.9% and wall time by up to 89.0%, preserving or improving task quality in 97% of settings. On Web deep-search tasks, token use falls by 31.0–43.0% and completion time by 23.0–37.0%. Licence and code availability are not stated on the page.
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