ARC-AGI benchmark 1interactive exploration 1object-centric learning 1program synthesis 1world modeling 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.AI2026
OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3
David Courtis, Wenhao Li, Scott Sanner
OPINE-World is an LLM-driven agent that learns object‑centric programmatic world models online by alternating hypothesis generation and testing, using a Bayesian ontology‑error mea…
cs.AI2026
Mechanistic Personality Analysis of LLMs Steering Personality via Latent Feature Interventions
David Courtis, Ting Hu
Large Language Models (LLMs) have demonstrated the ability to simulate human-like OCEAN personality traits in generated text. Previous efforts have focused on prompt engineering or…