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2,658 papers
This work design agents to intelligently deliver the entire life-cycle of an HPC application experimental run in cloud -- creation and build of a container, deployment in Kubernetes, optimization, and orchestration of a scaling study.
The results show that English prompts do not consistently produce the best functional correctness or code quality, the impact of prompt language depends on both the programming language and the LLM, and generated code frequently mixes English with the prompt language in comments and string literals.
Overall, the findings suggest that LLMs can approximate human coding in this case-specific setting, particularly at the coding level, and may serve as a scalable support tool for inductive qualitative analysis.
Part IV of a series on equity and reliability in medical imaging AI. Part III of this series showed that naming a demographic group in the text prompt of a medical vision–language model changes its diagnosis on a fixed chest radiograph, that the perturbation is exactly rank one in the standard positive/negative pair re...
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Measured board power, tokens per joule, and electricity cost per million tokens for local large language model inference on a retail NVIDIA RTX 5080. Board power was logged with nvidia-smi at 1 Hz while driving fixed-length generations. Efficiency. Llama 3.2 3B 1.20 tokens/joule; sparse gpt-oss 20B 0.665; Qwen 2.5 7B 0...
The Transformer architecture---built on attention rather than recurrence---redrew the landscape of natural language processing and became the substrate of contemporary artificial intelligence. This article presents a narrative review of the architecture's canonical line: Sutskever and colleagues' 2014 sequence-to-seque...
This document presents the defensible core of the Universal Model Framework (UMF), isolating the minimal set of structural assumptions and derivations that remain logically coherent, mathematically motivated, and empirically falsifiable. As stated in the text, the goal is to extract “the smallest segment that is logica...
Corrected analysis and figure-generation package for a benchmark of six large language models, four single-model prompting strategies, and a separate GPT-5.4-assisted external-review workflow across 119 de-identified gastrointestinal oncology cases.
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...
Background: Multidisciplinary tumor boards (MTBs) are central to contemporary head and neck oncology, ensuring accurate staging, guideline-concordant therapy, and balanced functional outcomes. In parallel, large language models (LLMs) have demonstrated increasing competence in synthesizing complex clinical data and gen...
Data, field notebooks and code supporting a study of two video-based vehicle counting campaigns on a single arterial corridor of Ciudad Juárez, Mexico, and of how a classification error propagates into a road traffic noise model of the FHWA/REMEL family.The deposit contains the full adjudication register of the 105 ima...
This repository contains the complete dataset, experimental inputs, raw outputs, statistical scripts, and validation artifacts for the study assessing the effectiveness of Large Language Models (LLMs) in generating abuser stories from user stories under a constrained-context baseline. The study evaluated three lightwei...
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