Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.
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Reasoning: A smarter way for AI to understand text and images
Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...
AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
Westmont College, located in Santa Barbara, Calif., is an undergraduate, residential, Christian, liberal arts community serving God’s kingdom by ...
Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...
The race is on to develop an artificial intelligence that can do pure mathematics, and top mathematicians just threw down the ...
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.
Although chatbots such as ChatGPT, which are powered by large language models (LLMs), have some sense of time, it is conceptualized in a completely different way. As we increasingly interact with them ...
The state of the humanities today creates a crisis,” the report concluded. “There is genuine doubt today whether the ...
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