news
Thrilled to announce that I have defended my PhD titled LLMs as Sociotechnical Actors: A Scaffolding Framework for Recovering Context Lost in Text-Only Settings. Grateful to everyone who supported this work!
The PATHs paper received a Senior Area Chair Highlight award at EMNLP 2025!
Started as a Senior Applied Scientist at Microsoft and moved to the Seattle area! I will continue working on human-agent collaboration for productivity.
Our paper PATHs is accepted to EMNLP 2025! See you in Suzhou, China.
LawFlow is accepted to COLM 2025! See you in Montreal.
LawFlow, which captures lawyers’ end-to-end thought processes, is out on ArXiv!
Gave a talk titled When AI Learns to Listen: Generative AI in the Social Sciences to high school students at the Sparkway Learning PythonAI Workshop 2024.
Honored to be a speaker at the Women in AI and Data Science Conference 2024, discussing the impact of artifacts in LLM-generated data.
Thrilled to be interning at the Office of Applied Research at Microsoft this fall!
Received the 2024 AnitaB.org Advancing Inclusion Scholarship!
Our paper Publics’ Perceptions of Legitimacy in Corporate Social Advocacy: A Computational Analysis of the Influence of Ideological Congruence is published in Public Relations Review.
Gave a talk titled Beyond Words: Incorporating Graph Data into LLMs for Comprehensive Social System Analysis at IC2S2 2024.
Presented Which Modality should I use? at NAACL 2024 in Mexico City! [Tweet]
Thrilled to be interning at Microsoft Research this summer!
Presented my recent paper on LLM-generated artifacts at Megagon Labs, along with Dongyeop Kang.
Passed my Thesis Proposal Exam :) One more exam to go until my defense!
Abstract Beyond Words: Incorporating Graph Data into LLMs for Comprehensive Social System Analysis selected for oral presentation at IC2S2 2024!
Which Modality should I use — Text, Motif, or Image? Understanding Graphs with Large Language Models is accepted at NAACL 2024 Findings!
Under the Surface: Tracking the Artifactuality of LLM-Generated Data is out on ArXiv. This paper marks my first venture as a project team lead and MinnesotaNLP’s first lab-wide project!
New preprint at the intersection of graphs and LLMs — Which Modality should I use — Text, Motif, or Image? Understanding Graphs with Large Language Models is out on ArXiv!
Our paper Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer was presented at ACL 2023 Findings.
Our work on Rebuilding Social Connection and Enhancing Advertising Effects Through the Nostalgic Appeal during the Pandemic was accepted to AEJMC 2023.
Our work on Work In Progress: Reactions to Incivility: A Computational Approach to Measuring Affective Polarization on Twitter During the First 2020 U.S. Presidential Debate was accepted to ICA 2023.
Our work on Publics’ Perceptions of Legitimacy in Corporate Social Advocacy: A Computational Analysis of the Influence of Ideological Congruence was accepted to ICA 2023.
Our paper AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements was presented at WNUT @ COLING 2022.