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2020 – today
- 2025
[c4]Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T. Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang:
Aligned LLMs Are Not Aligned Browser Agents. ICLR 2025- [c3]Evan Z. Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, William Song, Vaskar Nath, Ziwen Han, Sean M. Hendryx, Summer Yue, Hugh Zhang:
Planning in Natural Language Improves LLM Search for Code Generation. ICLR 2025 - [i18]Vaskar Nath, Pranav Raja, Claire Yoon, Sean Hendryx:
ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark. CoRR abs/2501.01290 (2025) - [i17]Clinton J. Wang, Dean Lee, Cristina Menghini, Johannes Mols, Jack Doughty, Adam Khoja, Jayson Lynch, Sean Hendryx, Summer Yue, Dan Hendrycks:
EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges. CoRR abs/2502.08859 (2025) - [i16]Jeff Da, Clinton Wang, Xiang Deng, Yuntao Ma, Nikhil Barhate, Sean Hendryx:
Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards. CoRR abs/2506.11425 (2025) - [i15]Vaskar Nath, Elaine Lau, Anisha Gunjal, Manasi Sharma, Nikhil Baharte, Sean Hendryx:
Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models. CoRR abs/2506.13923 (2025) - [i14]Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Bing Liu, Sean Hendryx:
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains. CoRR abs/2507.17746 (2025) - [i13]Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg, Niklas Lauffer, Andrew Park, Nitin Pasari, Chetan Rane, Karmini Sampath, Maya Krishnan, Srivatsa Kundurthy, Sean Hendryx, Zifan Wang, Chen Bo Calvin Zhang, Noah Jacobson, Bing Liu, Brad Kenstler:
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? CoRR abs/2509.16941 (2025) - [i12]Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi, Clinton Wang, Ankit Aich, Huy Nghiem, Tahseen Rabbani, Ye Htet, Brian Jang, Sumana Basu, Aishwarya Balwani, Denis Peskoff, Marcos Ayestaran, Sean M. Hendryx, Brad Kenstler, Bing Liu:
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents. CoRR abs/2511.07685 (2025) - [i11]Alwin Jin, Sean M. Hendryx, Vaskar Nath:
Progress over Points: Reframing LM Benchmarks Around Scientific Objectives. CoRR abs/2512.11183 (2025) - 2024
- [c2]Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx:
Learning Goal-Conditioned Representations for Language Reward Models. NeurIPS 2024 - [c1]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:
A Careful Examination of Large Language Model Performance on Grade School Arithmetic. NeurIPS 2024 - [i10]Will LeVine, Benjamin Pikus, Jacob Phillips, Berk Norman, Fernando Amat Gil, Sean Hendryx:
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy. CoRR abs/2401.12129 (2024) - [i9]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:
A Careful Examination of Large Language Model Performance on Grade School Arithmetic. CoRR abs/2405.00332 (2024) - [i8]Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx:
Learning Goal-Conditioned Representations for Language Reward Models. CoRR abs/2407.13887 (2024) - [i7]Spencer Whitehead, Jacob Phillips, Sean Hendryx:
Pre-Training Multimodal Hallucination Detectors with Corrupted Grounding Data. CoRR abs/2409.00238 (2024) - [i6]Evan Z. Wang, Federico Cassano, Catherine Wu, Yunfeng Bai, Will Song, Vaskar Nath, Ziwen Han, Sean Hendryx, Summer Yue, Hugh Zhang:
Planning In Natural Language Improves LLM Search For Code Generation. CoRR abs/2409.03733 (2024) - [i5]Mohit Raghavendra, Vaskar Nath, Sean Hendryx:
Revisiting the Superficial Alignment Hypothesis. CoRR abs/2410.03717 (2024) - [i4]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:
Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents. CoRR abs/2410.13886 (2024) - 2023
- [i3]Benjamin Pikus, Will LeVine, Tony Chen, Sean Hendryx:
A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift. CoRR abs/2311.14743 (2023) - 2021
- [j2]Pratima Khatri-Chhetri
, Sean M. Hendryx, Kyle A. Hartfield, Michael A. Crimmins, Willem J. D. van Leeuwen, Van R. Kane:
Assessing Vegetation Response to Multi-Scalar Drought across the Mojave, Sonoran, Chihuahuan Deserts and Apache Highlands in the Southwest United States. Remote. Sens. 13(6): 1103 (2021) - [i2]Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison:
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning. CoRR abs/2109.00150 (2021) - 2020
- [j1]Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Sean M. Hendryx, Clayton T. Morrison:
Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1895-1906 (2020)
2010 – 2019
- 2019
- [i1]Sean M. Hendryx, Andrew B. Leach, Paul Douglas Hein, Clayton T. Morrison:
Meta-Learning Initializations for Image Segmentation. CoRR abs/1912.06290 (2019)
Coauthor Index
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