Dr. Yejin Choi
MacArthur Fellow
Sources checkedProfessor of Computer Science at University of Washington and Senior Research Director at the Allen Institute for AI (AI2). 2022 MacArthur 'Genius' Fellow. Leading international authority on natural language understanding, commonsense reasoning, non-monotonic inference, and alignment with human values.
Areas of focus
Professional niches
Proof of Work
Social Chemistry 101: Learning to Reason about Social and Moral Norms
Introduced Social Chemistry 101, a computational framework and dataset containing 292,000 rules-of-thumb covering social conventions, moral rules, and situational ethical trade-offs, enabling LLMs to reason explicitly about multi-cultural norms.
Moral norms vary across geographic cultures, religious traditions, and temporal epochs; models require adaptive normative context parameters.
Context: Structured social rule-of-thumb generation with attribute classifications (morality, social judgment, agreement level).
View missionWinoGrande: An Adversarial Winograd Schema Challenge at Scale
Authored WinoGrande, an adversarial benchmark of 44,000 pronoun resolution problems designed using AFLITE algorithmic bias-reduction to prevent models from exploiting superficial dataset artifacts, becoming a gold-standard benchmark for evaluating machine commonsense.
Frontier models now achieve high performance on static text pairs; evaluating dynamic situational commonsense requires multi-turn environmental grounding.
Context: AFLITE adversarial filtering over RoBERTa embeddings; standard inclusion in Open LLM Leaderboard and HELM.
View mission