large language models

There Are Three Ways to Break, and Strength Does Not Decide Which ── Buckling Is Decided by Shape, Fracture by a Flaw, Yielding by the Crystal ── One Section of One Material Has a Different Limit Once Its Length Changes ── [Paper 262]

The sentence “the strength of this material is 250 MPa” does not settle when it breaks. This paper asks what does settle it──the answer is that there are three ways to break and a different thing decides each. Buckling is decided by shape, fracture by a flaw, and yielding by the crystal. No new mathematical theorem and...

The Length That Divides Gravity from Surface Tension Is Nobody's Size ── Water Gives 2.7273 mm ── Mercury Has 6.6621 Times the Surface Tension and Only 0.7009 Times the Capillary Length ── [Paper 309]

A liquid carries one length, l_c=sqrt(gamma/rho g). This paper asks whose size that length is──the answer is nobody’s. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law is claimed──the Laplace pressure, Jurin’s law, the Bond number and th...

Intermediate-Task Difficulty and Robustness in Zero-Shot Cross-Lingual Transfer on XTREME-R

Intermediate-task training---fine-tuning a pretrained model on an intermediate task before fine-tuning again on the target task---often improves model performance substantially on language understanding tasks in monolingual English settings. We investigate whether English intermediate-task training is still helpful on...

Sycophancy as Galois Closure: How KIS Structurally Prevents Delusional Convergence in LLMs

AbstrctSycophancy in large language models (LLMs)—the tendency to uncritically affirm user beliefs while suppressing counterevidence—poses a serious risk of reinforcing misinformation and inducing irreversible behavioral outcomes. While Chandra et al. (2026) modeled sycophancy as Bayesian belief-updating dynamics on th...

Oral MLLM Scoping Review Protocol: Multimodal Large Language Models in Stomatology

OSF 注册文案：口腔多模态大语言模型范围综述方案 1. 方案标题 多模态大语言模型在口腔医学中的应用：从影像诊断到智能病理——范围综述方案 Multimodal Large Language Models in Stomatology: From Imaging Diagnosis to Intelligent Pathology — A Scoping Review Protocol 2. 研究团队 刘雨、王翔、侯君、唐建军、翁雁鸣、马超群、董青山（通...

Evaluating Technology Acceptance of Vernacular AI Interfaces: An Empirical Study Among Multilingual Engineering Students in Kasaragod

Generative Artificial Intelligence (AI) tools have become embedded in the everyday academic practice of undergraduate engineering students, yet most large language models remain optimised for standard English rather than the code-mixed, multilingual registers through which students in linguistically plural regions actu...

The Symmetric Unit and the Midline Theorem: A First-Principles Geometric Construction in which Classical ζ is the Limit of Finished Stations and the Riemann Hypothesis is the Statement that the Limit has all Non-Trivial Zeros on the Only Primary Self-Ratio Available

The Symmetric Unit and the Midline Theorem A first-principles geometric construction in which the only primary self-ratio on a finished segment is 1/2. Classical ζ is identified later as a derived unit of comparison on that cut. In this order the Riemann Hypothesis is the statement that the limit has every non-trivial...

memoria.ia: Resolutive Memory — v1.0.0 Release Candidate 1

Memoria.ia v1.0.0-rc1 — Release Candidate 1 Release date: 2026-08-30 Summary v1.0.0-rc1 is the first publication candidate for the Memoria.ia v1 line. It consolidates the validated Resolutive Memory research lineage with the deployable PC/server product layer and the native/mobile runtime path, while keeping post-v1 ex...

Large Language Models in the Acute Stroke Pathway: A Scoping Review of Applications, Evidence Maturity, and Implementation Readiness

Background. Large language models (LLMs) have been rapidly adopted in medicine since late 2022, yet their role in the time-critical acute stroke pathway—from symptom recognition and prehospital triage to emergency diagnosis, imaging-related text tasks, reperfusion decision support, and acute-phase documentation and com...

Reproduction Package - Open or Frontier? A Cost- and Energy-Aware Benchmark of Large Language Models for Software Vulnerability Detection

Measurement harness and results for the paper: Open or Frontier? A Cost- and Energy-Aware Benchmark of Large Language Models for Software Vulnerability Detection Patrick Deininger and Wolfgang Slany. Submitted to MDPI Computers.

Reading Between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews

Sycophancy as Galois Closure: How KIS Structurally Prevents Delusional Convergence in LLMs

AbstrctSycophancy in large language models (LLMs)—the tendency to uncritically affirm user beliefs while suppressing counterevidence—poses a serious risk of reinforcing misinformation and inducing irreversible behavioral outcomes. While Chandra et al. (2026) modeled sycophancy as Bayesian belief-updating dynamics on th...