large language models

Reproducibility Artifacts for an Integrated Blockchain and Large Language Model Decision Support System for Organ Donation and Transplantation Workflows

This release adds reproducibility support for the revised evaluation: separates strict output completion, classification performance conditional on valid output, and failure-penalized end-to-end performance; adds a 20-scenario post hoc robustness suite covering safeguard boundary conditions, invalid model outputs, and...

Measuring an i+1 language tutor from the outside: one robust effect, one language-dependent null, and one failed conformance bar

Krashen's comprehensible-input hypothesis holds that acquisition happens when input sits just beyond the learner's current competence - the so-called i+1 condition. Large language models make it possible, for the first time, to generate such input on demand rather than select it from a fixed corpus. We report three res...

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...

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

========================================================================== NOTICE OF ABSOLUTE COMMERCIAL OWNERSHIP & PROPRIETARY ESCROW ========================================================================== PRINCIPAL INVESTIGATOR / RIGHTSHOLDER: STEPHAN RICHARD LEE CORPORATE ENTITY: GENSI HOLDINGS LLC / INVENTTECH...

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...