Yu Hou
Scholar

Yu Hou

Google Scholar ID: 2U1WiMMAAAAJ
University of Maryland, College Park
Natural Language Processing
Citations & Impact
All-time
Citations
2,171
 
H-index
5
 
i10-index
4
 
Publications
9
 
Co-authors
4
list available
Publications
9 items
Browse publications on Google Scholar (top-right) ↗
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