Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.10030.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Paper introduces AEROBAT, a multi-agent system that automates the full pipeline of behavioral scientific research on AI agents: hypothesis generation, experiment design, execution, analysis, and report writing. Across 12 target behaviors, it produced 79 hypotheses via 1,240 experiments and 23,512 simulation rounds, with moderate-to-strong evidence for 26 hypotheses.

First end-to-end automated pipeline for behavioral research on agents, with concrete scale numbers reported. Useful reference for anyone building multi-agent systems aimed at scientific workflows.

Cited by

No citations on record.