Apple researchers probe Large Reasoning Models' thinking limits

Researchers have introduced a new framework called "The Illusion of Thinking" to better understand the reasoning capabilities and limitations of Large Reasoning Models (LRMs). This framework utilizes controllable puzzle environments to analyze the internal reasoning traces of LRMs, moving beyond traditional evaluations that focus solely on final answer accuracy. Experiments revealed that LRMs experience a complete accuracy collapse at high problem complexities and exhibit a peculiar scaling limit where reasoning effort decreases despite sufficient computational resources. AI

IMPACT Introduces a novel evaluation method for LLMs that probes reasoning capabilities beyond simple accuracy, potentially guiding future model development.

RANK_REASON This is a research paper detailing a new framework for evaluating Large Reasoning Models. [lever_c_demoted from research: ic=1 ai=1.0]

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• NeurIPS
• Iman Mirzadeh
• Keivan Alizadeh
• Large Reasoning Models
• Maxwell Horton
• Mehrdad Farajtabar
• Parshin Shojaee
• Samy Bengio
• TASER
• WMT24
• The Illusion of Thinking

• paper
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