Sean M. Hendryx

According to our database, Sean M. Hendryx authored at least 20 papers between 2019 and 2025.

Collaborative distances:

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

2025

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains.

Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Bing Liu, Sean Hendryx

CoRR, July, 2025

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models.

Vaskar Nath, Elaine Lau, Anisha Gunjal, Manasi Sharma, Nikhil Baharte, Sean Hendryx

CoRR, June, 2025

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards.

Jeff Da, Clinton Wang, Xiang Deng, Yuntao Ma, Nikhil Barhate, Sean Hendryx

CoRR, June, 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, February, 2025

ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark.

Vaskar Nath, Pranav Raja, Claire Yoon, Sean Hendryx

CoRR, January, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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 Z. 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

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

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, Russell Kaplan, Michele Lunati, Summer Yue

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Goal-Conditioned Representations for Language Reward Models.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

2021

Assessing Vegetation Response to Multi-Scalar Drought across the Mojave, Sonoran, Chihuahuan Deserts and Apache Highlands in the Southwest United States.

Pratima Khatri-Chhetri, Sean M. Hendryx, Kyle A. Hartfield, Michael A. Crimmins, Willem J. D. van Leeuwen, Van R. Kane

Remote. Sens., 2021

Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning.

Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison

CoRR, 2021

2020

Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts.

Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Sean M. Hendryx, Clayton T. Morrison

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019

Meta-Learning Initializations for Image Segmentation.

Sean M. Hendryx, Andrew B. Leach, Paul Douglas Hein, Clayton T. Morrison

CoRR, 2019