Scientific code repositories yield more agent training tasks through workflow decomposition

The authors report that Poseidon generates 9.3 times as many verified environments as a prior pipeline under a matched repository budget.

Chinese Tech
Qifan Zhang · Yuhan Li · Nuo Chen · Bowen Liu · Xiao Hu · Miao Peng · +5 more

The Hong Kong University of Science and Technology (Guangzhou) · Hunyuan Team, Tencent

Research Digest··2 min read
Illustration: Scientific code repositories yield more agent training tasks through workflow decomposition
Zhang and colleagues introduce Poseidon, a pipeline that converts scientific code repositories into executable, automatically checked tasks for training research agents.

The authors built a three-stage pipeline: discover repositories containing scientific code, data and research context; extract workflows and synthesize tasks; then verify the resulting environments.

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