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20232026
most citedA Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature Extractors

1 citations · 2 across the 7 of their papers we have counts for

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Showing 2026Show all

3 papers · 1 filter

math.NA2026

Predictive Moving Sample Method for Physics-Informed Neural Solvers of Time-Dependent PDEs

Beining Xu, Bocheng Zhang, Haijun Yu +2

Time-dependent partial differential equations (PDEs) often develop sharp fronts, localized peaks, and other moving structures that occupy only a small portion of the space--time do…

cs.CL2026

Auditing Stealth Sycophancy in Mental-Health Dialogue: Structured Clinical-State Diagnostics and Clean Matched Benchmarks

Tianze Han, Beining Xu, Hanbo Zhang +1

Mental-health dialogue models are increasingly evaluated by AI-based evaluators, yet these evaluators often treat surface empathy, supportiveness, or fluency as evidence of safety.…

math.NA2026

Moving sample method for solving time-dependent partial differential equations

Beining Xu, Haijun Yu, Jiayu Zhai +2

Solving time-dependent partial differential equations (PDEs) that exhibit sharp gradients or local singularities is computationally demanding, as traditional physics-informed neura…