Dr. Yejin Choi
MacArthur Fellow
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dr. Yejin Choi. Every entry undergoes editorial source verification.
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.
WinoGrande: 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.