Yejin Choi
- AI Debate Aids Assessment of Controversial Claims
- Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
- Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
- Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
- Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
- Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
- ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
- VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
- Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations