Scholar
Luxi He
Google Scholar ID: 9xrZTooAAAAJ
Department of Computer Science, Princeton University
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Citations & Impact
All-time
Citations
400
H-index
8
i10-index
8
Publications
14
Co-authors
0
Contact
Email
luxihe@princeton.edu
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Publications
7 items
DataProphet: Demystifying Supervision Data Generalization in Multimodal LLMs
2026
Cited
0
Adaptation of Agentic AI
2025
Cited
0
Statutory Construction and Interpretation for Artificial Intelligence
2025
Cited
0
The Deployment of End-to-End Audio Language Models Should Take into Account the Principle of Least Privilege
2025
Cited
0
Metadata Conditioning Accelerates Language Model Pre-training
2025
Cited
0
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors
arXiv.org · 2024
Cited
36
Fantastic Copyrighted Beasts and How (Not) to Generate Them
arXiv.org · 2024
Cited
8
Resume (English only)
Academic Achievements
Paper 'Statutory Construction and Interpretation for Artificial Intelligence' accepted at NeurIPS RegML Workshop (Oral, 2025)
Paper 'The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege' accepted at AIES 2025 (Oral)
Presented CharXiv at NeurIPS 2024 and gave an oral presentation at the EvalEval Workshop
Gave a spotlight presentation at ICML 2024 GenLaw Workshop on 'Fantastic Copyrighted Beasts'
Published work on interpreting and constructing natural language rules for AI, accompanied by X thread, blog post, and policy brief
Background
Third-year Ph.D. student in Computer Science at Princeton University
Research focuses on understanding language models and improving their alignment and safety
Particularly interested in the impact of data throughout the language model lifecycle
Aims to make language models more reliable and trustworthy
Recently exploring human-LLM alignment and collaboration from first principles
Motivated to bridge technology and policy by integrating insights from both domains
Co-authors
0 total
Co-authors: 0 (list not available)
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