large language models

Development and Accuracy Evaluation of an LLM-Assisted Workflow for Screening and Data Extraction in Large-Scale Syntheses

Large-scale research syntheses are labor-intensive and prone to human error, and large language models (LLMs) could support their screening and data extraction. Building on current recommendations, we developed an integrated workflow for title and abstract screening (Step 1), full-text screening (Step 2), and data extr...

FESOM2: the Fortran reference of the LLM-assisted C and C++/Kokkos ports

The two versions of the FESOM2 ocean and sea-ice model used as the Fortran reference in the paper An Ocean Model Ported by a Large Language Model: Experience and Lessons from FESOM2 (Fortran to C to C++/Kokkos), from github.com/FESOM/fesom2. fesom2-llmport-fortran-reference-9271ae92.zip: tag llmport-fortran-reference (...

Interoperable Modular Language Models I: From Decomposition to Interchangeability

> Large language models are usually trained, distributed, and consumed as monolithic systems even though their internal computations are structurally modular. This paper asks a stronger question than model splitting, routing, merging, or adapter composition: can internal language-model subsystems become independently p...

Generating Explainable Domain Models via Attention and Confidence

Vectognition: a neutral term for what artificial intelligence systems do when they seem to think

Discussions of large language models and other artificial systems lack a widely established process term that explicitly leaves questions of understanding and consciousness open. "Cognition", "understanding" and "thinking" can encourage mental attributions; "mere computation" and "stochastic parroting" can encourage th...

Healthcare Recommendation System

The research aims to build trustworthy and explainable large language models for healthcare recommendations systems.

fesom_kokkos: a C++/Kokkos port of the FESOM2 ocean and sea-ice model for CPUs and GPUs

A performance-portable C++/Kokkos port of the ocean and sea-ice core of FESOM2: one source tree for CPUs (Kokkos Serial, OpenMP) and GPUs (CUDA, HIP). The Serial build reproduces the C port byte for byte. Code of the paper An Ocean Model Ported by a Large Language Model: Experience and Lessons from FESOM2 (Fortran to C...

DESIGNING AN IMMORTAL CIVILIZATION When Death No Longer Updates the World Memory, Identity, Renewal, Succession, Love, Birth, Scarcity, Meaning, and the Architecture of Life Beyond Death

DESIGNING AN IMMORTAL CIVILIZATION When Death No Longer Updates the World Memory, Identity, Renewal, Succession, Love, Birth, Scarcity, Meaning, and the Architecture of Life Beyond Death Feng Cheng-en (33) x Starli DESIGNING AN IMMORTAL CIVILIZATION is a large-scale future-studies and civilization-design monograph on w...

Artificial intelligence in risk-based auditing of large enterprise taxation

The article examines the theoretical and methodological foundations for applying artificial intelligence (AI) in risk-based audits of large enterprise taxation. The study’s relevance stems from the significant fiscal role of large taxpayers, the complexity of their business transactions, the prevalence of cross-border...

Assessing Semantic Fidelity of LLM-Generated BPMN 2.0 Process Models via Round-Trip Transformation

Analogy as the Basic Operator: Limits of Language Models and the Nature of Doxa

Large language models (LLMs) demonstrate the ability to solve tasks that until recently were considered the prerogative of human intelligence, but they are not particularly good at generating something fundamentally new. This paper shows that this gap is not accidental: it is rooted in the architecture itself. We forma...

LLM-Driven Verilog Generation and Verification for RISC-V Processor Design

Large language models (LLMs) are increasingly used in Electronic Design Automation (EDA) to write hardware description code. This paper reviews how LLMs generate and verify Verilog for a RISC-V processor datapath, a core topic in Computer Architecture and Organization. The review is built around the AI-driven logic syn...