From the 1 of 4 linked papers with an AI index.
4 papers
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…
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects
Wenhao Li, Yudong Xu, Scott Sanner +1
The Abstraction and Reasoning Corpus (ARC) is a popular benchmark focused on visual reasoning in the evaluation of Artificial Intelligence systems. In its original framing, an ARC…
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Yudong W. Xu, Wenhao Li, Scott Sanner +1
We present a Transformer-based framework for Constraint Satisfaction Problems (CSPs). CSPs find use in many applications and thus accelerating their solution with machine learning…
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison
George-Kirollos Saad, Scott Sanner
Query-driven recommendation with unknown items poses a challenge for users to understand why certain items are appropriate for their needs. Query-driven Contrastive Summarization (…