Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Individuals with strong attention-deficit/hyperactivity disorder (ADHD) symptoms, related to inefficient cognitive executive function, may experience a surprising benefit: a natural inclination toward ...

Researchers at Queen’s University have built a different kind of computer—one that uses light instead of electronics to ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Leo Polemeropoulos co-founded Programmatics after noticing middle schoolers were interested in coding but lacked the ...

Abstract: Mixed Integer Linear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the ...