How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. - Angela M. Zavaleta Bernuy; Ziwen Han; Hammad Shaikh; Qi Yin Zheng; Lisa-Angelique Lim; Anna N. Rafferty; Andrew Petersen 001; Joseph Jay Williams (LAK, 2022)

Parameter efficient dendritic-tree neurons outperform perceptrons. - Ziwen Han; Evgeniya Gorobets; Pan Chen (CoRR, 2022)

Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. - Fernando J. Yanez; Angela M. Zavaleta Bernuy; Ziwen Han; Michael Liut; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2022)

Large Language Models are Human-Level Prompt Engineers. - Yongchao Zhou; Andrei Ioan Muresanu; Ziwen Han; Keiran Paster; Silviu Pitis; Harris Chan; Jimmy Ba (ICLR, 2023)

A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses. - David Glukhov; Ziwen Han; Ilia Shumailov; Vardan Papyan; Nicolas Papernot (CoRR, 2024)

LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet. - Nathaniel Li; Ziwen Han; Ian Steneker; Willow Primack; Riley Goodside; Hugh Zhang; Zifan Wang 001; Cristina Menghini; Summer Yue (CoRR, 2024)

Planning In Natural Language Improves LLM Search For Code Generation. - Evan Z. Wang; Federico Cassano; Catherine Wu; Yunfeng Bai; Will Song; Vaskar Nath; Ziwen Han; Sean Hendryx; Summer Yue; Hugh Zhang (CoRR, 2024)

Teaching LLMs How to Learn with Contextual Fine-Tuning. - Younwoo Choi; Muhammad Adil Asif; Ziwen Han; John Willes; Rahul G. Krishnan (ICLR, 2025)

Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses. - David Glukhov; Ziwen Han; Ilia Shumailov; Vardan Papyan; Nicolas Papernot (ICLR, 2025)

Planning in Natural Language Improves LLM Search for Code Generation. - Evan Z. Wang; Federico Cassano; Catherine Wu; Yunfeng Bai; William Song; Vaskar Nath; Ziwen Han; Sean M. Hendryx; Summer Yue; Hugh Zhang (ICLR, 2025)

Humanity's Last Exam. - Long Phan; Alice Gatti; Ziwen Han; Nathaniel Li; Josephina Hu; Hugh Zhang; Sean Shi; Michael Choi; Anish Agrawal; Arnav Chopra; Adam Khoja; Ryan Kim; et al. (CoRR, 2025)