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Dec 15, 2024 🎤 Gave a talk titled “When AI learns to Listen: Generative AI in the Social Sciences” to high school students for the Sparkway Learning PythonAI Workshop 2024.
Nov 04, 2024 🎤 Honored to be a speaker at the Women in AI and DS Conference 2024 and discussed the impact of artifacts in LLM-generated data with an incredibly talented crowd!
Oct 08, 2024 🏆 I received the 2024 AnitaB.org Advancing Inclusion scholarship!
Jul 21, 2024 🥳 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
Jul 18, 2024 🎤 Gave a talk titled “Beyond Words: Incorporating Graph Data into LLMs for Comprehensive Social System Analysis” at IC2S2 2024! P.S The cheesesteak is just fantastic at Philadelphia 🤤
Jun 16, 2024 ✅ Presented my paper “Which Modality should I use – Text, Motif, or Image? : Understanding Graphs with Large Language Models” at NAACL 2024 in Mexico City! [Tweet]
Jun 06, 2024 🥳I am thrilled to be interning at Microsoft Research this summer!
May 10, 2024 🎤 Presented my recent paper on LLM-generated artifacts at Megagon Labs, along with Dongyeop Kang
Apr 22, 2024 🎉 Our abstract “Beyond Words: Incorporating Graph Data into LLMs for Comprehensive Social System Analysis” is selected for oral presentation at IC2S2 2024!
Apr 10, 2024 ✅ Passed my Thesis Proposal Exam ✌🏽 One more exam to go until my defense!💪🏼
Mar 13, 2024 🥳“Which Modality should I use – Text, Motif, or Image? : Understanding Graphs with Large Language Models” is accepted at NAACL 2024 Findings!
Jan 30, 2024 🆕 “Under the Surface: Tracking the Artifactuality of LLM-Generated Data” is finally out on ArXiv. This paper marks my first venture as a project team lead and MinnesotaNLP’s first lab-wide project!🥳
Dec 12, 2023 🆕 Our 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!
Jul 09, 2023 ✅ Our paper on “Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer” was presented at ACL 2023 Findings.
May 06, 2023 🎉Our work on “Rebuilding Social Connection and Enhancing Advertising Effects Through the Nostalgic Appeal during the Pandemic” was accepted to AEJMC 2023.
Jan 16, 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.
Jan 12, 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.
Oct 12, 2022 ✅ Our paper on “AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements” was presented at WNUT@COLING 2022.