Sean Hendryx

According to our database, Sean Hendryx authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

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

Revisiting the Superficial Alignment Hypothesis.

Mohit Raghavendra, Vaskar Nath, Sean Hendryx

CoRR, 2024

Planning In Natural Language Improves LLM Search For Code Generation.

Evan Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, Will Song, Vaskar Nath, Ziwen Han, Sean Hendryx, Summer Yue, Hugh Zhang

CoRR, 2024

Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data.

Spencer Whitehead, Jacob Phillips, Sean Hendryx

CoRR, 2024

Learning Goal-Conditioned Representations for Language Reward Models.

Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx

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, Michele Lunati, Summer Yue

CoRR, 2024

Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy.

Will LeVine, Benjamin Pikus, Jacob Phillips, Berk Norman, Fernando Amat Gil, Sean Hendryx

CoRR, 2024

2023

A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift.

Benjamin Pikus, Will LeVine, Tony Chen, Sean Hendryx

CoRR, 2023