Hi, I'm Patrick!
Hi, I'm Patrick!
AI Researcher & Student
AI Researcher & Student
at Stanford University
at Stanford University
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I'm a Computer Science Major at Stanford, working as a student researcher with Professor Ellen Vitercik, and advised by Professor Mehran Sahami.
Before that, I've been a research assistant affiliated with Stanford Artificial Intelligence Lab , advised by Professor Tobias Gerstenberg at CiCLab and Professor Noah Goodman at CoCoLab. I was an intern at Apple too.
I'm also the President of Stanford Symbolic Systems Society, and a leadership organizer at Stanford AI Alignment.
Recent Work
Recent Work
I'm widely interested in algorithmic innovation and conceptual modeling, seeking to augment the impact and foster the growth of human intellectuality.
Bridged Clustering AAAI 2025 Poster.pdfBridged_Clustering_AI4Research_unarchived.pdfBridged Clustering: Learning across Unsupervised Datasets
Bridged Clustering: Learning across Unsupervised Datasets
AAAI Workshop 2025 (First Author, work with Prof. Ellen Vitercik)
🌟 Poster Submission to AI4Research @ AAAI 2025
Category:
ML Theory
Contribution:
Invented an efficient semi-supervised learning algorithm. Bridged Clustering offers a robust framework for utilizing available unlabeled data to support new inference objectives in scientific research.
Analogy AAAI 2025.pdfAnalogy_Tutor____iRAISE_Draft (9).pdfCan LLMs Teach Human Learners to Understand Concepts Through Analogies?
Can LLMs Teach Human Learners to Understand Concepts Through Analogies?
AAAI Workshop 2025 (First Author)
🌟 Poster Submission to iRAISE @ AAAI 2025
Category:
Socially Intelligent AI Large Language Models
Social_contract_Poster.pdf2310.17769.pdfNeurIPS 2023 (Co-Second Author, work with Dr. Jan-Philipp Fränken & others) [code]
🌟 SpotLight Submission to NeurIPS Workshop SoLaR
Category:
Socially Intelligent AI Large Language Models AI Alignment
Contribution:
Developed a mechanism for aligning AI assistants using inferred social norms and meta-prompting techniques, presenting a flexible alternative for Constitutional AI.
CS 224N Connections Poster.pdfLearning_Semantic_Complexities_of_NYT_Connections.pdfLearning Semantic Complexities of NYT Connections
Learning Semantic Complexities of NYT Connections
CS 224N Project (Co-first Author, advised by Professor Christopher Manning)
Category:
NLP Large Language Models
Contribution:
Integrating in-context learning, fine-tuning with distillation, and Verbal Reinforcement Learning for semantic grouping tasks, achieving near-human-level performance and a significant improvement of 38.23% compared to baseline clustering methods.
AI_Integration_Study_into_Family_Education_Guided_by_Symbolic_Interaction_Theory_Exemplified_by_Tmall_Genie_and_Duer_in_Families_of_Children_Aged_6_to_12.pdfIEEE 2021 (Co-First Author, work with Xingwen Wu & Zilin Li)
Category:
Socially Intelligent AI AI Alignment
Contribution:
Investigated AI technology's social integration process into families and impacts on children’s psycho-social formation
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