A marriage of formal methods and LLMs seeks to harness the strengths of both.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Kitsap Regional Library has released its list of the most popular books from 2025, and while it was a big year for big names, readers continued to show their love for local authors as well. Staffers ...

Recent advancements in multimodal slow-thinking systems have demonstrated remarkable performance across diverse visual reasoning tasks. However, their capabilities in text-rich image reasoning tasks ...

Abstract: Large language models (LLMs) can achieve superior results through iterative refinement based on internal or external signals, compared to the unstable outputs from a single pass. However, ...

This repository contains the implementation for the paper "SIKeD: Self-guided Iterative Knowledge Distillation for Mathematical Reasoning", published at Findings of ACL 2025. Large Language Models ...

In the rapidly evolving landscape of artificial intelligence, a new contender has emerged that’s capturing the attention of developers and researchers worldwide. Qwen3-Max Thinking, developed by ...