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Resume (English only)
Academic Achievements
NAACL 2025: "Language Models Predict Empathy Gaps Between Social In-groups and Out-groups"
ICLR 2025: "Natural Language Inference Improves Compositionality in Vision-Language Models"
EMNLP 2023: "ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos"
AACL 2022 (Findings): "On Measures of Biases and Harms in NLP"
ACL 2021 (Findings): "COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences"
Interspeech 2020: "Self-Attentive Similarity Measurement Strategies in Speaker Diarization"
Background
Second-year PhD student in Computer Science at University of Maryland, College Park
Member of the Computational Linguistics and Information Processing (CLIP) Lab
Research focuses on human-centered and socio-culturally aware AI
Passionate about learning languages in social contexts and exploring intersections between natural language and social psychology
Specific interests include: (1) how AI can influence interpersonal relationships by understanding the role of language models in intergroup or interpersonal communication; (2) how AI can connect people across cultures by understanding human needs and building more helpful tools
Miscellany
Spring 2024: Teaching Assistant for CMSC470: Introduction to Natural Language Processing, University of Maryland
Fall 2023: Teaching Assistant for CMSC723: Natural Language Processing, University of Maryland
Fall 2021 & Spring 2021: Teaching Assistant for CSCI 455x: Introduction to Programming Systems Design, USC
Fall 2019 (Session 2): Teaching Assistant for STATS102: Introduction to Data Science, Duke Kunshan University
Oct 31–Nov 1, 2024: Co-organized AI Alignment event