large language models

Cryptographic Token Efficiency Architecture and Semantic Injection Routing Matrix for Persistent Context Windows

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Does the Language of the Prompt Change the Politics of the Answer? A Cross-Lingual Agent-Based Audit of Generative AI and Turkish Political Discourse

Chronometric Injection: A Residual-Stream Channel for Elapsed-Time Conditioning in Frozen Language Models

Large language models can reason about time when temporal information is written in a prompt, but the standard transformer interface provides no first-class input for elapsed wall-clock duration. This limitation matters for interactive and agentic systems, where the same visible prompt may require different responses d...

Formal Verification of Agentic MLOps Protocols: Model Checking and Liveness Guarantees in Distributed Model Context Protocol Workflows

Integrating Large Language Models (LLMs) into distributed scientific workflows has established autonomous agentic tool orchestration across high-performance computing clusters. However, delegating multi-step execution graphs to generative models over unconstrained protocols exposes GPU clusters to circular wait deadloc...

Physics-constrained large language model-assisted optimal scheduling approach for hydro-wind-solar systems considering multi-level backwater effects

Multi-level backwater effects couple downstream reservoir water levels with upstream tailwater levels and effective heads, which complicates the long-term coordinated scheduling of cascade hydro–wind–solar systems. This study addresses this scheduling problem by developing a physics-constrained Large Language Model (LL...

EVAL Study Dataset and Supporting Materials: Clinical Safety of Large Language Model Responses to Simulated Iraqi Arabic Breast Cancer Scenarios and Agreement Between GPT-5.1 and Human Experts

This repository contains the datasets and supporting methodological materials for a multi-phase evaluation of the clinical safety and performance of large language model (LLM) responses to simulated Iraqi Arabic breast cancer scenarios and agreement between GPT-5.1 automated evaluations and human experts. The study com...

EVAL Study Dataset and Supporting Materials: Clinical Safety of Large Language Model Responses to Simulated Iraqi Arabic Breast Cancer Scenarios and Agreement Between GPT-5.1 and Human Experts

This repository contains the datasets and supporting methodological materials for a multi-phase evaluation of the clinical safety and performance of large language model (LLM) responses to simulated Iraqi Arabic breast cancer scenarios and agreement between GPT-5.1 automated evaluations and human experts. The study com...

ML-Based Anomaly Detection for Infrastructure Observability: An Intelligent AIOps Platform Using Ensemble Learning and LLM-Powered Root Cause Analysis

ML-Based Anomaly Detection for Infrastructure Observability: An Intelligent AIOps Platform Using Ensemble Learning and LLM-Powered Root Cause Analysis Abstract This research proposes an intelligent AIOps platform designed to improve infrastructure observability by combining machine learning-based anomaly detection, mul...

Chronometric Injection: A Residual-Stream Channel for Elapsed-Time Conditioning in Frozen Language Models

Large language models can reason about time when temporal information is written in a prompt, but the standard transformer interface provides no first-class input for elapsed wall-clock duration. This limitation matters for interactive and agentic systems, where the same visible prompt may require different responses d...

Auditable AI-Assisted Scientific Discovery: From Noncausal Processes to Quantum Measurement Rigidity

Large language models can accelerate scientific exploration, but generated arguments are not evidence. We report a human–AI research workflow in which model outputs are treated as conjectures and claims are admitted only after proof or deterministic, independently checked computation. The workflow is illustrated by a c...

Algerian Darja Corpus: A 34-Million-Word Long-Form Conversational Dataset for Dialectal Language Modeling

The Algerian Darja Corpus is an open-source, large-scale dataset comprising 11,151 curated long-form conversational transcripts totaling 34,336,366 words (186,106,376 characters, ~53M subword tokens). Key updates in this version:- Added 1,408 newly curated dialogue transcripts from recent media and tech channels.- Re-a...

The Hidden Domestication of Probabilistic Fitting: The Individualization Fallacy and Extended‑Mark Cognitive Architecture

This preprint introduces the individualization fallacy, an original cognitive risk concept for generative large‑language models. Large models produce group‑averaged value narratives from massive corpora and mechanically apply statistical group conclusions onto unique individual real‑world situations. Ordinary cloud‑end...