87 citations · 255 across the 21 of their papers we have counts for
6 papers · 1 filter
Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries
Chonghe Jiang, Ao Qu, Siyuan Liu +9
Open-ended scientific discovery often requires repeatedly proposing and evaluating candidate solutions. LLM-based systems can support this process by generating and refining execut…
Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom
Xiaojun Bi, Xiaoyuan Ma, Yiwen Sun +5
Autonomous driving decision systems must balance safety, efficiency, and social norms in complex traffic interactions. Philosophical and ethical considerations have received limite…
PrecPack: An Efficient Open-Source Exact Solver for Bin Packing with Generalized Precedence Constraints
Sunkanghong Wang, Zhengzhong Ricky You, Roberto Baldacci +4
Efficient resource use in packing and assembly-line applications requires decisions that jointly account for capacity and precedence constraints. The strongly NP-hard bin packing p…
When Do Corrective Features Help? An Agent for Corrective Feature Discovery on Black-Box Forecasters
Fangxin Wang, Ziyi Zhang, Diyi Zhuang +4
Frozen pretrained forecasters often fail in structured, recurring ways that are costly to repair through fine-tuning. We study corrective feature discovery: mining interpretable fe…
TorchDCM: A Unified PyTorch-Native Package for Discrete Choice Modeling
Baichuan Mo, Zhengzhong Ricky You, Xiqun Michael Chen +1
Estimating large and simulation-intensive discrete choice models (DCMs) requires repeated evaluation of utilities, probabilities, derivatives, and simulated likelihoods over many o…
Learned Pairwise Deep Dual-Optimal Inequalities for Stabilizing Column Generation
Zhengzhong Ricky You, Bo Tang, Haoran Liu +1
Column generation (CG) is central to many large-scale optimization algorithms, including branch-price-and-cut methods for vehicle routing problems, but unstable dual solutions can…