Author

Peisong Wang

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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

#machine learning Preprint Oct 2026

Process Reward Modeling with Reliability- and Conservatism-Aware Bayesian Belief

BayesianPRM is proposed, which treats the process reward as a random variable within a reward hypothesis space and maintains a Bayesian belief over it, and yields a reliability- and conservatism-aware Bayesian belief, whose expectation determines the process reward.

Zhong-Jian Qiao, Zhi-Xiang Zhou, Jiafei Lyu 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