Author

Nihar B. Shah

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Review Open access Oct 2026

The more you automate, the less you see: Hidden pitfalls of autonomous AI scientists.

The rapid rise of autonomous AI scientists marks a paradigm shift in scientific discovery by automating the research lifecycle. Yet their rushed development has outpaced critical oversight, leaving key workflow decisions dangerously unscrutinized. We present a much-needed systematic analysis of open-source AI scientist...

Ziming Luo, Atoosa Kasirzadeh, Nihar B. Shah · Proceedings of the National... · 0 citations

#human-computer interacti... Review Sep 2026

Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 2026

A randomized experiment and an anonymous post-survey at ICML 2026 investigate how reviewers use LLM-use policies in practice and how different LLM-use policies affect review outcomes, and discusses implications for future peer-review policy and tool design.

Sunnie S. Y. Kim, W. Deng, Jennifer Wortman Vaughan et al. · 1 citation

#artificial intelligence Jun 2026

ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues

The results show that LLM agents, even without executing code, can identify many real-world reproducibility problems from paper-repository pairs, and ReproRepo can serve as a reusable, scalable framework for future evaluations of LLM agents on real-world reproducibility auditing.

Shanda Li, Qiuhong Anna Wei, Jingwu Tang et al. · arXiv.org · 0 citations