AI Agent Papers2026
Sihan Ge, Yichen Lin +4Affiliation: Cardinal Operations, Affiliation: Shanghai Jiao Tong University, Shanghai, China
[email protected] {linyichen, chenyuzhou, linjianghao, taoyao, ddge}@sjtu.edu.cn
* Equal contribution † Corresponding authors
Studies when and how an assistant should ask clarification questions before converting natural-language problem descriptions into optimization models. Introduces OR-Clarify, a benchmark for pre-formulation clarification, and InterOPT, a two-stage framework that diagnoses formulation-critical gaps and guides targeted questioning and stopping decisions.