3 papers
cs.AI2026
LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning
Adam Ishay, Joohyung Lee
Recent large language models (LLMs) have achieved impressive reasoning milestones but continue to struggle with high computational costs, logical inconsistencies, and sharp perform…
cs.AI2025
Think before You Simulate: Symbolic Reasoning to Orchestrate Neural Computation for Counterfactual Question Answering
Adam Ishay, Zhun Yang, Joohyung Lee +2
Causal and temporal reasoning about video dynamics is a challenging problem. While neuro-symbolic models that combine symbolic reasoning with neural-based perception and prediction…
cs.CL2025
LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning about Actions
Adam Ishay, Joohyung Lee
Large Language Models (LLMs) have made significant strides in various intelligent tasks but still struggle with complex action reasoning tasks that require systematic search. To ad…