Sotabase

Career

· Intern, Thinking Machines Lab2025–
· PhD Candidate, Computer Science, Stanford University2023–
· Research Intern, Microsoft Research Asia2022–2022
· Visiting Summer Intern, UCLA2022–
· Engineering Intern, Tensorflow Lite team, Google2021–2021
· B.S., Data Science, Yuanpei College, Peking University2019–2023

Publications (23)

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
arXiv.org · 2024
218
cited
Continual Pre-training of Language Models
International Conference on Learning Representations · 2023
200
cited
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
North American Chapter of the Association for Computational Linguistics · 2024
116
cited
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
Neural Information Processing Systems · 2024
88
cited
PERSONA: A Reproducible Testbed for Pluralistic Alignment
International Conference on Computational Linguistics · 2024
50
cited
Aligning Language Models with Demonstrated Feedback
International Conference on Learning Representations · 2024
42
cited
Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration
arXiv.org · 2024
41
cited
Continual Training of Language Models for Few-Shot Learning
Conference on Empirical Methods in Natural Language Processing · 2022
41
cited
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations
Conference on Empirical Methods in Natural Language Processing · 2024
37
cited
Adapting a Language Model While Preserving its General Knowledge
Conference on Empirical Methods in Natural Language Processing · 2023
26
cited
Class Incremental Learning via Likelihood Ratio Based Task Prediction
International Conference on Learning Representations · 2023
19
cited
Class-Incremental Learning based on Label Generation
Annual Meeting of the Association for Computational Linguistics · 2023
17
cited
Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce
arXiv.org · 2025
17
cited
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training
arXiv.org · 2022
12
cited
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems
Annual Meeting of the Association for Computational Linguistics · 2023
11
cited
Challenges and Paths Towards AI for Software Engineering
arXiv.org · 2025
11
cited
CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection
ECML/PKDD · 2022
11
cited
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback
arXiv.org · 2024
11
cited
Continual Learning of Language Models
arXiv.org · 2023
10
cited
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Annual Meeting of the Association for Computational Linguistics · 2022
7
cited
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