arXiv Machine Learning June 4, 2026 By Gleb Rodionov, Roman Garipov, George Yakushev

Reasoning Shift: How Context Silently Shortens LLM Reasoning

Read the original on arXiv Machine Learning →

arXiv:2604. 01161v2 Announce Type: replace Abstract: Large language models (LLMs) exhibiting test-time scaling behavior, such as extended reasoning traces and self-verification, have demonstrated remarkable performance on complex, long-term reasoning tasks.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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