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Computer Science > Cryptography and Security

arXiv:2506.11423v1 (cs)
[Submitted on 13 Jun 2025 (this version) , latest version 19 Jun 2025 (v4) ]

Title: Bhatt Conjectures: On Necessary-But-Not-Sufficient Benchmark Tautology for Human Like Reasoning

Title: 巴特猜想:关于类人推理的必要但非充分基准重言式

Authors:Manish Bhatt
Abstract: Debates about whether Large Language or Reasoning Models (LLMs/LRMs) truly reason or merely pattern-match suffer from shifting goal posts. In my personal opinion, two analytic--hence "tautological"--benchmarks cut through that fog in my mental model. In this paper, I attempt to write down my mental model in concrete terms.
Abstract: 关于大型语言模型或推理模型(LLMs/LRMs)是否真正进行推理或只是模式匹配的争论,往往受到目标不断变化的影响。 在我看来,两个分析性的——因此是“同义反复”的——基准在我的心智模型中拨开了迷雾。 在这篇论文中,我试图以具体的形式写下我的心智模型。
Subjects: Cryptography and Security (cs.CR) ; Emerging Technologies (cs.ET)
Cite as: arXiv:2506.11423 [cs.CR]
  (or arXiv:2506.11423v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2506.11423
arXiv-issued DOI via DataCite

Submission history

From: Manish Bhatt [view email]
[v1] Fri, 13 Jun 2025 02:41:18 UTC (10 KB)
[v2] Mon, 16 Jun 2025 01:10:55 UTC (10 KB)
[v3] Wed, 18 Jun 2025 02:15:01 UTC (10 KB)
[v4] Thu, 19 Jun 2025 00:27:58 UTC (10 KB)
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