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Author

Wesley Hanwen Deng

3 papers indexed here

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#artificial intelligence Preprint Sep 2026

CAVEAT: Towards Robust Computer-Use Agents in Incentive-Misaligned Environments

CAVEAT-Harness is developed, which targets failures and raises the optimal purchase rate by up to 80.0 percentage points, and targeted post-training further improves a smaller open model, to establish incentive robustness as a distinct challenge for delegated agents and diagnose failure modes.

Yuxuan Li, Will Epperson, W. Deng et al. · 1 citation

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
Review Aug 2026

What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research

This work synthesizes current knowledge through a literature review of 161 empirical studies spanning six years, each engaging industry practitioners via interviews, surveys, workshops, ethnographies, and other methods, to provide a more complete account of industry RAI than any single study to date.

W. Deng, Agathe Balayn, Andrew D. Selbst et al. · 0 citations

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