Tu Trinh

According to our database, Tu Trinh authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Getting By Goal Misgeneralization With a Little Help From a Mentor.

Tu Trinh, Mohamad H. Danesh, Nguyen X. Khanh, Benjamin Plaut

CoRR, 2024

Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents.

Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, Summer Yue, Zifan Wang

CoRR, 2024

Softmax Probabilities (Mostly) Predict Large Language Model Correctness on Multiple-Choice Q&A.

Benjamin Plaut, Khanh Nguyen, Tu Trinh

CoRR, 2024

A StrongREJECT for Empty Jailbreaks.

Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer

CoRR, 2024

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning.

Tu Trinh, Haoyu Chen, Daniel S. Brown

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2022

Efficient Game-Theoretic Planning With Prediction Heuristic for Socially-Compliant Autonomous Driving.

Chenran Li, Tu Trinh, Letian Wang, Changliu Liu, Masayoshi Tomizuka, Wei Zhan

IEEE Robotics Autom. Lett., 2022

Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning.

Tu Trinh, Daniel S. Brown

CoRR, 2022