RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (CoRR, 2021)

Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; John D. Co-Reyes; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (AutoML, 2022)

Scalability and Generalization of Circuit Training for Chip Floorplanning. - Summer Yue; Ebrahim M. Songhori; Joe Wenjie Jiang; Toby Boyd; Anna Goldie; Azalia Mirhoseini; Sergio Guadarrama (ISPD, 2022)

The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Gabriel Mukobi; Nathan Helm-Burger; Rassin Lababidi; et al. (ICML, 2024)

A Careful Examination of Large Language Model Performance on Grade School Arithmetic. - Hugh Zhang; Jeff Da; Dean Lee; Vaughn Robinson; Catherine Wu; William Song; Tiffany Zhao; Pranav Raja; Charlotte Zhuang; Dylan Slack; Qin Lyu; Sean Hendryx; et al. (NeurIPS, 2024)

The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. - Nathaniel Li; Alexander Pan; Anjali Gopal; Summer Yue; Daniel Berrios; Alice Gatti; Justin D. Li; Ann-Kathrin Dombrowski; Shashwat Goel; Long Phan; Gabriel Mukobi; Nathan Helm-Burger; et al. (CoRR, 2024)

A Careful Examination of Large Language Model Performance on Grade School Arithmetic. - Hugh Zhang; Jeff Da; Dean Lee; Vaughn Robinson; Catherine Wu; Will Song; Tiffany Zhao; Pranav Raja; Dylan Slack; Qin Lyu; Sean Hendryx; Russell Kaplan; et al. (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)

Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents. - Priyanshu Kumar; Elaine Lau; Saranya Vijayakumar; Tu Trinh; Scale Red Team; Elaine T. Chang; Vaughn Robinson; Sean Hendryx; Shuyan Zhou; Matt Fredrikson; Summer Yue; Zifan Wang 001 (CoRR, 2024)

MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs. - Kaustubh Deshpande; Ved Sirdeshmukh; Johannes Baptist Mols; Lifeng Jin; Ed-Yeremai Hernandez-Cardona; Dean Lee; Jeremy Kritz; Willow E. Primack; Summer Yue; Chen Xing (ACL (Findings), 2025)

Aligned LLMs Are Not Aligned Browser Agents. - Priyanshu Kumar; Elaine Lau; Saranya Vijayakumar; Tu Trinh; Elaine T. Chang; Vaughn Robinson; Shuyan Zhou; Matt Fredrikson; Sean M. Hendryx; Summer Yue; Zifan Wang 001 (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)

EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges. - Clinton J. Wang; Dean Lee; Cristina Menghini; Johannes Mols; Jack Doughty; Adam Khoja; Jayson Lynch; Sean Hendryx; Summer Yue; Dan Hendrycks (CoRR, 2025)

Jailbreaking to Jailbreak. - Jeremy Kritz; Vaughn Robinson; Robert Vacareanu; Bijan Varjavand; Michael Choi; Bobby Gogov; Scale Red Team; Summer Yue; Willow Primack; Zifan Wang 001 (CoRR, 2025)

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems. - Richard Ren; Arunim Agarwal; Mantas Mazeika; Cristina Menghini; Robert Vacareanu; Brad Kenstler; Mick Yang; Isabelle Barrass; Alice Gatti; Xuwang Yin; Eduardo Trevino; Matias Geralnik; et al. (CoRR, 2025)