Dual-system agent couples fast evidence checks with deliberative planning for efficient research

JevGPT pairs a fast source inspector with a planning module, achieving top results on question answering and document ranking at lower cost.

Academic
Yasheng Sun · Yanning Dai · Yimeng Chen · Nanbo Li · Firas Laakom · Yifan Xu · +6 more

King Abdullah University of Science and Technology

Research Digest··2 min read
The authors introduce JevGPT, a dual-system architecture for autonomous research that separates rapid source inspection from deliberative planning.

JevGPT uses a two-system design: System Two maintains the evolving investigation, sets evidence objectives, and integrates findings, while System One, based on the fast model Jev, locates and assesses sources in parallel, then returns original passages to the planner.

Why this paper

From King Abdullah University of Science and Technology

In one line

JevGPT couples fast evidence processing with deliberative planning to achieve leading performance, lower cost, and faster completion.

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