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.
Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...
AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.
Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...
Abstract: We investigate a novel characteristic of the conjugate function associated to a generic convex optimization problem, which can subsequently be leveraged for efficient dual decomposition ...
Abstract: Electroencephalogram (EEG)-based motor imagery (MI) (MI-EEG) decoding has established a novel experimental paradigm in brain-computer interface (BCI) applications that offer effective ...
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