Luxi He

According to our database, Luxi He authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

DataProphet: Demystifying Supervision Data Generalization in Multimodal LLMs.

Xuan Qi, Luxi He, Dan Roth, Xingyu Fu

CoRR, March, 2026

2025

Adaptation of Agentic AI.

Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han

CoRR, December, 2025

Statutory Construction and Interpretation for Artificial Intelligence.

Luxi He, Nimra Nadeem, Michel Liao, Howard Chen, Danqi Chen, Mariano-Florentino Cuellar, Peter Henderson

CoRR, September, 2025

The Deployment of End-to-End Audio Language Models Should Take into Account the Principle of Least Privilege.

Luxi He, Xiangyu Qi, Michel Liao, Inyoung Cheong, Prateek Mittal, Danqi Chen, Peter Henderson

CoRR, March, 2025

Metadata Conditioning Accelerates Language Model Pre-training.

Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal.

Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On Evaluating the Durability of Safeguards for Open-Weight LLMs.

Xiangyu Qi, Boyi Wei, Nicholas Carlini, Yangsibo Huang, Tinghao Xie, Luxi He, Matthew Jagielski, Milad Nasr, Prateek Mittal, Peter Henderson

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fantastic Copyrighted Beasts and How (Not) to Generate Them.

Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors.

Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal

CoRR, 2024

AI Risk Management Should Incorporate Both Safety and Security.

Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal

CoRR, 2024

What's in Your "Safe" Data?: Identifying Benign Data that Breaks Safety.

Luxi He, Mengzhou Xia, Peter Henderson

CoRR, 2024

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.

Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen

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

2023

Aleatoric and Epistemic Discrimination in Classification.

Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon

CoRR, 2023

Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions.

Hao Wang, Luxi He, Rui Gao, Flávio P. Calmon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023