Sotabase

Career

· Postdoctoral Scholar in Computer Science, University of Washington Behavioral Data Science Group2022–

Publications (13)

Out of One, Many: Using Language Models to Simulate Human Samples
Political Analysis · 2022
870
cited
Leveraging Large Language Models for Multiple Choice Question Answering
International Conference on Learning Representations · 2022
246
cited
A Roadmap to Pluralistic Alignment
International Conference on Machine Learning · 2024
152
cited
Leveraging AI for democratic discourse: Chat interventions can improve online political conversations at scale
Proceedings of the National Academy of Sciences of the United States of America · 2023
133
cited
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
Annual Meeting of the Association for Computational Linguistics · 2022
123
cited
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Annual Meeting of the Association for Computational Linguistics · 2024
119
cited
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
Neural Information Processing Systems · 2021
30
cited
AI Chat Assistants can Improve Conversations about Divisive Topics
arXiv.org · 2023
23
cited
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
Annual Meeting of the Association for Computational Linguistics · 2024
22
cited
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
Conference on Empirical Methods in Natural Language Processing · 2025
6
cited
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
2026
4
cited
OptiSeq: Optimizing Example Ordering for In-Context Learning
arXiv.org · 2025
1
cited
Sotabase
Chris Rytting | Researcher Profile | Sotabase | Sotabase