Yulia Tsvetkov
University of Washington
survey
stress test
social media
political communication
llm
agenda-setting
summarization
language generation
framing
text generation
large language models
politics
information warfare
bias
diffusion language models
47
presentations
55
number of views
2
citations
SHORT BIO
I am an assistant professor in the Paul G. Allen School of Computer Science & Engineering, at the University of Washington. I'm also an adjunct professor at the Language Technologies Institute at CMU. I work on Natural Language Processing–a subfield of computer science focusing on computational processing of human languages. I am particularly interested in hybrid solutions at the intersection of machine learning and theoretical or social linguistics, i.e., solutions that combine interesting learning/modeling methods and insights about human languages or about people speaking these languages.
Much of my research group's work focuses on NLP for social good, multilingual NLP, and language generation. This research is motivated by a unified goal: to extend the capabilities of human language technology beyond individual populations and across language boundaries, thereby enabling NLP for diverse and disadvantaged users, the users that need it most.
Previously, I was an assistant professor in the Language Technologies Institute, School of Computer Science at Carnegie Mellon University, and before that a postdoc in the Stanford NLP Group. I got my PhD from CMU.
Presentations
Know Your Limits: A Survey of Abstention in Large Language Models
Bingbing Wen and 6 other authors
Biased LLMs can Influence Political Decision-Making
Jillian Fisher and 8 other authors
CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming
Yu Ying Chiu and 10 other authors
ComPO: Community Preferences for Language Model Personalization
Sachin Kumar and 4 other authors
ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs
Aly Kassem and 7 other authors
On the Importance of Nuanced Taxonomies for LLM-Based Understanding of Harmful Events: A Case Study on Antisemitism
Karina Halevy and 5 other authors
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions
Chan Young Park and 6 other authors
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
Shangbin Feng and 6 other authors
Teaching LLMs to Abstain across Languages via Multilingual Feedback
Shangbin Feng and 8 other authors
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia
Farhan Samir and 4 other authors
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects
Orevaoghene Ahia and 7 other authors
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
Yizhuo Zhang and 6 other authors
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
Shangbin Feng and 5 other authors
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
Yichen Wang and 7 other authors
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
Wenxuan Ding and 6 other authors
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
Herun Wan and 5 other authors