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Xuanming Zhang

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Open access Sep 2026

Human preferences are susceptible to covertly misaligned AI advice.

AI assistants are increasingly used as advisors to guide decisions, yet little is known about how people evaluate such advice when the advisor's underlying intent conflicts with their interests. We examine how covert misalignment shapes choices in a randomized experiment (N = 233 participants; 699 observations) in whic...

Sahand Sabour, June M. Liu, Siyang Liu et al. · 1 citation
Jul 2026

Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements

FinIndices is a large-scale benchmark evaluating data-processing fidelity over uncropped financial statements (up to 32K tokens) and yields substantial zero-hint gains, validating that structured logic can be partially restored via data-centric alignment.

Xin Tong, Xuanming Zhang, Tian-Yi Tang et al. · 0 citations

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