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Peng-Yang Wang

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#machine learning Preprint Oct 2026

Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction

Predicting transient urban winds is fundamental to understanding urban microclimates and designing climate-resilient cities. Building-resolving large-eddy simulation produces detailed incompressible urban wind fields at substantial computational cost for each layout. Neural surrogates offer a faster alternative by lear...

Yi-Di Wang, Yun-He Zhang, Jia-Wei Gu et al. · 0 citations

Is This Evidence Decision-Critical? Learning to Verify Rule-Governed Decisions

Rule-based reasoning, as in eligibility checks and contract reviews, requires language models to assess evidence against individual conditions and combine their judgments under explicit rules. Errors in evidence assessment can leave a decision unchanged, but misinterpreting or overlooking decision-critical evidence can...

Hao-Yan Zhang, Jian-Peng Zhao, Qi Hao et al. · 0 citations
#natural language process... Preprint Sep 2026

RGDT-Bench: Benchmarking LLM Reasoning for Rule-Governed Decisions and Their Justifications

A simple reward model with warrant supervision is trained, training a simple reward model that outperforms both outcome-supervised baselines across nearly all response-selection comparisons, supporting RGDT-Bench's warrant supervision for RGDT reasoning.

Jian-Peng Zhao, Hai-Hua Xu, Hao-Yan Zhang et al. · 0 citations

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