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Author

Zhuoran Lu

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#natural language process... Preprint Oct 2026

Likelihood Is Not Authorship: Can We Reliably Measure Human Contribution in AI-Assisted Writing?

AI-text detection generally asks whether a machine wrote a text. As AI becomes an increasingly integral and accepted part of writing, the more relevant question is no longer whether AI was used, but how much of the text reflects human contribution. A prominent line of work estimates this by measuring how predictive a p...

H. Amin, Zhuo-Ran Lu, Ming Yin · 0 citations
#artificial intelligence Book Open access Aug 2026

One AI Signal, Many Human Judgments: A Bayesian Cascade Analysis of AI-based Credibility Indicators in Online Information Spread

Simulations show that over-reliance on a weak AI is especially harmful, and that diversifying AI signals across users can better keep the crowd informative, and conclude with implications for understanding human-AI interaction in information spread and designing misinformation interventions.

Zhuo-Ran Lu, Wei-Long Wang, Yang-Yang Yu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Using Grounded Theory for Agent Behavior Analysis at Scale

This work proposes AutoTraceGT (Automated Trace analysis through Grounded Theory), the first multi-agent pipeline that automates grounded theory on agent trajectories and suggests Grounded Theory offers a scalable analytic tool for ML researchers and agent developers studying what agents actually do.

Zhuo-Ran Lu, Yang-Yang Yu, Zhuo-Yan Li et al. · 0 citations

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