3 papers
cs.HC2026
When Models Choose the Question: Pedagogical Constraints in Bottom-Up Multi-Agent Inquiry
Yeri Hong, Lauren Hyoseo Yoon
What shapes a model-generated inquiry when no discussion question is supplied? We introduce a bottom-up forum framework inspired by Philosophy for Children, in which language-model…
cs.AI2026
Knowledge-Centric Self-Improvement
Xuefei Julie Wang, Lauren Hyoseo Yoon, Chengrui Qu +4
Self-improving AI systems typically treat the agent as the object that improves, by optimizing prompts, workflows, harnesses, or even the agent's own code. This agent-centric view…
cs.LG2025
Escaping Plato's Cave: JAM for Aligning Independently Trained Vision and Language Models
Lauren Hyoseo Yoon, Yisong Yue, Been Kim
Independently trained vision and language models inhabit disjoint representational spaces, shaped by their respective modalities, objectives, and architectures. The Platonic Repres…