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L. Zheng

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#artificial intelligence Preprint Sep 2026

Beyond Accuracy: How Procedural Traces Shift the Decision Criterion of LLM Overseers

Organizations increasingly use oversight loops where one large language model (LLM) audits another's outputs alongside procedural traces of claimed steps. A common concern about such LLM-as-a-judge pipelines is that detailed traces make overseers gullible. Using signal detection theory, we audit five LLM overseers on 1...

Zi-Han Chen, Di Zhu, L. Zheng et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

Endorsement Without New Evidence: How Sequential Voting Inflates Mandates in Online Community Governance

Online communities often treat large support margins in public elections as strong mandates. We argue that such margins can overstate the independent scrutiny behind a decision. Using 198,275 free-text rationales from Wikipedia admin elections, we introduce vote-text divergence, a measure that flags a decisive vote pai...

Zi-Han Chen, L. Zheng, Di Zhu · 0 citations

When Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey Responses

The cross-domain benchmark and the evaluation framework for intelligent synthetic-user evidence is made available on request, so that teams can determine in advance when synthetic-user evidence is safe for decision support and when it is not.

Zihang Chen, Di Zhu, L. Zheng · 2 citations

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