Bandit-Based Multi-Start Strategies for Global Continuous Optimization. - Phillip Guo; Michael C. Fu 001 (WSC, 2022)

Representation Engineering: A Top-Down Approach to AI Transparency. - Andy Zou; Long Phan; Sarah Li Chen; James Campbell; Phillip Guo; Richard Ren; Alexander Pan; Xuwang Yin; Mantas Mazeika; Ann-Kathrin Dombrowski; Shashwat Goel; Nathaniel Li; et al. (CoRR, 2023)

Localizing Lying in Llama: Understanding Instructed Dishonesty on True-False Questions Through Prompting, Probing, and Patching. - James Campbell; Richard Ren; Phillip Guo (CoRR, 2023)

Eight Methods to Evaluate Robust Unlearning in LLMs. - Aengus Lynch; Phillip Guo; Aidan Ewart; Stephen Casper; Dylan Hadfield-Menell (CoRR, 2024)

Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs. - Abhay Sheshadri; Aidan Ewart; Phillip Guo; Aengus Lynch; Cindy Wu; Vivek Hebbar; Henry Sleight; Asa Cooper Stickland; Ethan Perez; Dylan Hadfield-Menell; Stephen Casper (CoRR, 2024)

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization. - Phillip Guo; Aaquib Syed; Abhay Sheshadri; Aidan Ewart; Gintare Karolina Dziugaite (CoRR, 2024)