Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility. - Thomas Yim; Junha Lee; Rishi Verma; Scott Hickmann; Annie Zhu; Camron Sallade; Ian Ng; Ryan Chi; Patrick Liu (SemEval@NAACL, 2022)

3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D Worlds. - Fan-Yun Sun; Shengguang Wu; Christian Jacobsen; Thomas Yim; Haoming Zou; Alex Zook; Shangru Li; Yu-Hsin Chou; Ethem Can; Xunlei Wu; Clemens Eppner; Valts Blukis; et al. (CoRR, 2025)