Latest Articles for Problem Solving

An examination of how LLMs perform on the Abstraction and Reasoning Corpus.

A flexible approach to tackle nonsmooth and nonconvex optimization problems effectively.

New neural network architectures improve stability and accuracy in solving partial differential equations.

Exploring positive solutions for the Grushin operator in mathematics.

Recent advancements in Real Quantifier Elimination and CAD improve problem-solving efficiency in mathematics.

ARCLE helps researchers improve AI's problem-solving skills using reinforcement learning.

A look at multi-start algorithms for black-box optimization challenges.

A new method enhances neural networks for solving decision problems with constraints.

Exploring the efficiency of optical Ising machines in complex problem-solving.

A study on enhancing AI cognitive skills using Chess as a platform.

This study assesses LLM reasoning skills using the challenging 3-SAT problem.

Explore different methods of navigating mazes with various pathways and exits.

Explore the relationships between shapes and their properties in geometry.

A new method enhances group collaboration through coevolution in networks.

Learn how VLS offers fresh solutions to complex problems.

New method enhances QAOA programming for quantum computers.

A simplified look at CSPs and the impact of additional constraints.

A study compares model-based and model-free reinforcement learning in analogical reasoning.

This system aids thinking and decision-making through structured reasoning.

HOBO offers an efficient way to find Pythagorean triples.

A new approach to enhance stability in bilevel optimization problems.

This paper examines the role of RL in solving the Andrews-Curtis conjecture.

ECHO combines diverse reasoning patterns for better problem-solving in language models.

This paper discusses how teams of agents can work better together by leveraging their distinct skills.

Students learn to prioritize real customer needs through the peer-customer method.

Causal language models show promise in solving Sudoku and Zebra puzzles.

This research highlights the importance of aligning AI learning with human problem-solving behaviors.

Learn how the funnel method simplifies solving constrained optimization challenges.

BrainKing assesses language models' problem-solving skills under limited information.

A look into varieties, stratifications, and monomial theories explained simply.

Exploring how LLMs struggle with complex coding challenges.

Explore the relationship between groups and snake tiling problems in mathematics.

Explore how geometry-preserving reductions connect computational problems while maintaining solution shapes.

A tool designed to improve language models' problem-solving skills efficiently.

A new framework allows AI agents to create actions dynamically for better problem-solving.

Researchers introduce five new methods for more effective Monte Carlo sampling.

A look into the challenges and strategies of the Traveling Salesman Problem.

Learn how AHP can streamline your decision-making process.

Exploring how quantum methods improve solutions for the knapsack problem.

A novel method using decision diagrams to tackle complex MINLP challenges.