ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity. - Henry Bae; Aghyad Deeb; Alex Fleury; Kehang Zhu (CoRR, 2023)

Reading Between the Pixels: Investigating the Barriers to Visualization Literacy. - Carolina Nobre; Kehang Zhu; Eric Mörth; Hanspeter Pfister; Johanna Beyer (CHI, 2024)

LLM-Powered Preference Elicitation in Combinatorial Assignment. - Ermis Soumalias; Yanchen Jiang; Kehang Zhu; Michael J. Curry; Sven Seuken; David C. Parkes (CoRR, 2025)

Learning from Synthetic Labs: Language Models as Auction Participants. - Anand Shah; Kehang Zhu; Yanchen Jiang; Jeffrey G. Wang; Arif Kerem Dayi; John J. Horton; David C. Parkes (CoRR, 2025)