arXiv AI By Liulei Zhang, Dejing Zhou, Chuyue Huang, Guanhua Chen, Yutong Yao, Lidia S. Chao, Chi Man Vong, Derek F. Wong

How Is Automated Research Evaluated? A Survey of Benchmarks and Evaluation Practices

Read the original on arXiv AI →

The paper surveys how automated research systems—used for literature synthesis, ideation, workflows, writing, peer review, and end‑to‑end research—are evaluated. It compares task construction, evidence sources, evaluators, and scoring methods across six target areas, revealing that output checks, process checks, and human studies together provide a fuller picture. The authors identify gaps in diagnostic designs and offer reporting and audit recommendations to guide future evaluation efforts.

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arXiv AI
Jul 21

AI for Auto-Research: Roadmap & User Guide

arXiv:2605. 18661v2 Announce Type: replace Abstract: AI-assisted research is crossing a threshold: fully automated systems can now generate research papers for as little as $15, while long-horizon agents can execute experiments, draft manuscripts, and simulate critique with minimal human input.

By Lingdong Kong, Xian Sun, Wei Chow, Linfeng Li, Kevin Qinghong Lin, Xuan Billy Zhang, Song Wang, Rong Li, Qing Wu, Wei Gao, Yingshuo Wang, Shaoyuan Xie, Jiachen Liu, Leigang Qu, Shijie Li, Lai Xing Ng, Benoit R. Cottereau, Ziwei Liu, Tat-Seng Chua, Wei Tsang Ooi