Reasoning Models Reason Well, Until They Don’t
Computer Science > Artificial Intelligence arXiv:2510.22371 (cs) [Submitted on 25 Oct 2025] Title:Reasoning Models Reason Well, Until They Don’t Authors:Revanth Rameshkumar, Jimson Huang, Yunxin Sun, Fei Xia, Abulhair Saparov View a PDF of the paper titled Reasoning Models Reason Well, Until They Don’t, by Revanth Rameshkumar and 4 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) have shown significant progress in reasoning tasks. However, recent studies show that transformers and LLMs fail catastrophically once reasoning problems exceed modest complexity. We revisit these findings through the lens of large reasoning models (LRMs) — LLMs fine-tuned with incentives for step-by-step argumentation and self-verification. LRM performance on…
