1 citations · 1 across the 4 of their papers we have counts for
4 papers
Sequential Sampling for Binary Classification: Two LLMs are (Almost) All You Need
Guokai Li, Alys Liang, Mo Liu +4
We study how to orchestrate multiple large language models (LLMs) for reliable binary classification when models differ in accuracy, monetary cost, and response time. A decision-ma…
Self-Improving Neural-Guided Pruning: A Graph Neural Network Framework for Scalable Mixed Bundle Pricing
Liangyu Ding, Chenghan Wu, Guokai Li +1
Mixed bundle pricing is a classic revenue management problem arising in industries such as e-commerce, tourism, and video games. It refers to designing product combinations (i.e.,…
From Small to Large: A Graph Convolutional Network Approach for Solving Assortment Optimization Problems
Guokai Li, Pin Gao, Stefanus Jasin +1
Assortment optimization seeks to select a subset of substitutable products, subject to constraints, to maximize expected revenue. The problem is NP-hard due to its combinatorial an…
Infrequent Resolving Algorithm for Online Linear Programming
Guokai Li, Zizhuo Wang, Jingwei Zhang
Online linear programming (OLP) has gained significant attention from both researchers and practitioners due to its extensive applications such as online auctions, network revenue…