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Author

Aochuan Chen

The Hong Kong University of Science and Technology (Guangzhou)

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Preprint Oct 2026

OR-License: Evaluating LLM Agents as Real-World Operations Research Practitioners

Can large language model (LLM) agents deliver expert-level operations research (OR) solutions directly from original client materials, without prior expert reformulation? Existing OR benchmarks typically begin with self-contained descriptions or predefined optimization tasks, underrepresenting the translation of origin...

Peisong Wang, Fei-Xue Liu, Yi-Ze Meng et al. · 0 citations
Book Open access Aug 2026

Label Annotation for Tabular Anomaly Detection with Large Language Models

Tabular Anomaly Detection (TAD) plays a fundamental role in securing real-world applications. Despite rapid advances in TAD, the prohibitive cost of human-centric label annotation remains a primary bottleneck for large-scale production systems. To alleviate this bottleneck, we propose a novel ''coarse-to-fine'' label a...

Haihong Zhao, Aochuan Chen, Miao Peng et al. · 0 citations
Preprint Aug 2026

$R^3$-Bench: LLMs Struggle with Resource-Rational Reasoning under Shared Budgets

$R^3$-Bench is introduced, which evaluates six-problem suites under shared budgets across mathematics, competitive programming, and abstract reasoning in tool-free and agentic settings, and exposes a persistent gap between demonstrated competence and shared-budget realization.

Peisong Wang, Zhiwei Ma, Bo-Wen Liu et al. · 0 citations

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