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large language models

2,583 papers

#large language models Dataset Open access Sep 2026

DataNomics™ Vault App: Sovereign Multi-Agent Gated Repository, Automated Ingestion Countermeasures, and Cross-Thread Cognitive Synchronization Protocols [GenSI-Ref: DN-VAULT-2026-0920]

ABSTRACT, GLOBAL PRIOR-ART AXIS, & SOVEREIGN COMMERCIAL RESERVATION Principal Innovator: Stephan Richard Lee (ORCID: 0009-0008-1177-3857) Corporate Assignee: GenSi Holdings LLC // GenSI Technology and Infrastructure Services Official Operations Matrix: gensi.25.1@protonmail.com Timeline Horizon Priority: June 2026 Base...

Lee Stephan Richard · 0 citations
#large language models Open access Sep 2026

The Extrapolation Crosses Zero Because the Heat-Capacity Difference Was Held Constant ── With a melting entropy of 10 and a heat-capacity difference of 30, the extrapolated entropy difference crosses zero at T=214.959393, or 0.716531 of the melting point ── let it vanish as the third law requires and it need not cross at all ── [Paper 503]

The Kauzmann paradox is spoken of as a property of supercooled liquids. This paper shows that crossing zero follows from holding the heat-capacity difference constant──held constant, however small, it always crosses. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──t...

Yuuki Yamagishi · 0 citations
#large language models Open access Sep 2026

Small Models, Big Claims: Choosing and Quantizing Local LLMs on an Integrated GPU

Running large language models locally on integrated graphics is now practical, but the community's model-selection advice is dominated by vibes: "just grab a 2B at Q4." This report presents a controlled, single-machine measurement study of twelve model/quantization configurations across three model families (Qwen2.5-1....

D. Zaragoza Rodriguez · 0 citations
#large language models Open access Sep 2026

Window Theory • AI — Paper II: Landing and Verification

Window Theory - AI (wtAI): A Falsifiable Framework for Flexibility-Fragility Coupling in Large Language Models This is a six-part research series examining a structural pattern in decoder-based next-token-prediction systems deployed as dialogue and instruction agents. It is written for readers with a background in mach...

Wai-Hung (Pan) Tam · 0 citations
#large language models Open access Sep 2026

Comprehension as Compliance: How Grounded Content, Not Form, Moves Small Language Models to Act, and Where It Does Not

A small language model, given a task prefixed with a description of a recurring decision, will often recognize the decision and fail to act on it. This paper draws together a program of studies on that effect and states what drives it. The effect is carried by the content of the description, not by its form: a plain im...

Sophie Neilson · 0 citations
#artificial intelligence Open access Sep 2026

Mathematical Resolution of Thermal and Electromagnetic Deadlock in Space-Based AI Computing (Ⅰ, Ⅱ, Ⅲ)

Confirmed date obtained2026.09.19 Saturday Around pm11:00 First acquisition2026.09.20 Sunday Around am05:30 Second acquisition The Orchestrated Breakout: Infrastructure Lockdown AbstractThis paper presents a definitive mathematical and structural demolition of the contemporary narrative surrounding autonomous artificia...

Kouji Murakami · 0 citations
#artificial intelligence Open access Sep 2026

R8: An Exploratory Lexical Framework for Approximating Cognitive Manipulation Risk in Text

R8 (Cognitive Risk Analyzer): An Exploratory Lexical Framework for Approximating Cognitive Manipulation Risk in Japanese Text R8 is an exploratory, dictionary-based framework that approximates cognitive manipulation risk in Japanese-language text across 12 theoretically grounded categories, producing a single composite...

Takahiro Saito · 0 citations
#large language models Open access Sep 2026

The role of AI in academic library reference services: A bibliometric analysis

The integration of artificial intelligence (AI) into academic library reference services has emerged as a significant area of scholarly interest. Using bibliometrix in R and VOSviewer, this study examines publication trends, identifies leading journals, countries, and authors, maps thematic clusters through keyword co-...

Gordon Amidu · 0 citations
#large language models Open access Sep 2026

Specification Before Generation: A Pre-Registered, Five-Model Paired Evaluation of a Specification Frame for LLM-Generated Code in Money, Time, Idempotency, and Access Tasks

Code generated by large language models passes security checks at a rate that has barely moved in four years. In regulated backends, the defect classes that matter most are money arithmetic, time handling, retry safety, and access control. Teams answer with instruction files, yet the largest controlled study of instruc...

Sandeep Dhuri · 0 citations
#large language models Dataset Open access Sep 2026

Clinical quality, safety and stability of ChatGPT and DeepSeek patient information on pancreatic intraductal papillary mucinous neoplasms

This deposit contains the data and analysis code for a study evaluating the clinical quality, safety and stability of patient-facing advice generated by two large language models about pancreatic intraductal papillary mucinous neoplasms (IPMN).

Shenglong Zhang, Cheng Zhang · 0 citations
#large language models Open access Sep 2026

Zero-Copy In-Place Compaction and Idempotent Associative Routing of Dynamic Key-Value Cache Tensors in Deep Learning Accelerators

The serving of autoregressive Large Language Models (LLMs) is severely constrained by the computational and memory capacity limits of the Key-Value (KV) cache, commonly referred to as the Memory Wall. While dynamic context pruning algorithms mitigate memory expansion by discarding tokens of low attention mass, conventi...

A. Emre Cetin · 0 citations
#artificial intelligence Open access Sep 2026

CTT Algorithm

CTT Project - Hwang Joon This paper was written using GPT-5.6sol,GPT-6 Astra model of OpenAI. Abstract CTT is a computational research framework developed for large-scale hierarchical computation and structure-aware analysis across multiple scientific and engineering domains. The numerical CTT implementation has been e...

준 황 · 0 citations

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