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.

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

Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...

I swapped ChatGPT for Alibaba’s new reasoning model for a full day. Here’s where Qwen3-Max-Thinking handled real-world tasks better — and where it didn’t.

Mathematicians excel at handling complexity and uncertainty. Mathematical reasoning strategies aren't just useful for dilemmas involving numbers. We can apply math mindsets to improve our approach to ...

NVIDIA’s GTC 2025 conference showcased significant advancements in AI reasoning models, emphasizing progress in token inference and agentic capabilities. A central highlight was the unveiling of the ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are ...

What if you could delegate your most complex research tasks to an AI that not only understands the intricacies of your work but also evolves with every challenge it faces? Enter the Kimi K2 Agent ...

AI reasoning models were supposed to be the industry's next leap, promising smarter systems able to tackle more complex problems and a path to superintelligence. The latest releases from the major ...