large language models

Do large language models displace or complement investment advisors? Evidence from Chinese wealth management firms

Time‑Accumulated Vacuum Cosmology v3.6 Unified Proper‑Time Tracking Model for Evolving Dark Energy ρ₍vac₎(x) = ρ₀ [1 + k Φ(x)/c²]

Time‑Accumulated Vacuum Cosmology v3.6 FEU: Proper‑Time Modulated Vacuum with Early‑Time Suppression and Density‑Dependent Screening FEU v3.6 is the latest corrected and stabilized version of the Time‑Accumulated Vacuum Cosmology framework. The model extends ΛCDM by introducing a small, smooth modulation of vacuum ener...

Data and Supplementary Materials for "Quantifying Materiality Misalignment Risk in ESG Reporting Using Large Language Models"

Canonical Noncommutative Defects Beyond Parikh Projection: Magnus Towers and an Unbounded Static-Dynamic Boundary Gap

We develop an order-sensitive defect formalism for substitution prefixes using the classical Magnus expansion of words. A substitution morphism induces a filtered endomorphism of the completed noncommutative tensor algebra, and an anchored substitution cut produces a multiplicative residual whose finite truncations for...

Consciousness Is a Phase Transition: A Two-Channel Thermodynamic Criterion and an Exclusion Principle

We propose that consciousness is a phase transition of a non-equilibrium dissipative structure, characterised by two independently controlled channels that must both be driven past threshold. The central result is an exclusion criterion: a macroscopic dissipative structure cannot be conscious unless it satisfies three...

A Large Language Model Agent Framework for Token-Efficient Tabular Data Error Detection

Reproducibility materials for the PeerJ manuscript “A Large Language Model Agent Framework for Token-Efficient Tabular Data Error Detection”. This release contains the LAED source code, five aligned dirty/clean benchmark CSV pairs, the dependency specification, and documentation required to reproduce the supplied exper...

A Multi-Agent Retrieval-Augmented Large Language Model Framework for Automated Soil Nail Design

Supplementary materials for

DOPS: Dynamic OPerator Sorting for Heterogeneous NPU-PIM LLM Inference

DOPS is a simulation and analysis framework for heterogeneous NPU-PIM large language model inference. It builds stage-aware execution graphs, evaluates dynamic operator placement policies, explores persistent weight layouts, and exports schedule summaries plus operator and communication traces.

Governed Software Construction for Large Language Models: Capability-Bounded Mutation, Dual-Gate Verification, and Evidence-Aware State Transitions

Large Language Models are evolving from code-completion tools into autonomous software agents capable of inspecting repositories, modifying multiple files, invoking tools, executing tests, and iteratively repairing software systems. This increased capability also creates a governance problem: contemporary coding agents...

PTTB-600: A Benchmark and Reproducibility Dataset for Long-Tail Plant Taxonomic Knowledge

PTTB-600 is a reproducibility dataset for evaluating large language models on long-tail plant taxonomic knowledge. It contains the complete Chinese-language question bank, answer key, answer-free evaluation set, model responses, item-level score matrix, model-level and dimension-level results, English figures, analysis...

Design and Evaluation of a RAG-Based Educational Assistant Grounded in Course Materials: A Case Study in Vocational Training

This study presents the design, implementation, and exploratory classroom evaluation of a course-constrained educational assistant combining Retrieval-Augmented Generation (RAG) with large language models (LLMs) in Vocational Education and Training (VET). The platform retrieves teacher-provided materials, generates cou...

boster-hub/llm-surgical-free-text-annotation: Version 2.0.0 – Reproducible Python pipeline

Overview Version 2.0.0 provides the revised reproducible Python pipeline for binary symptom annotation in German emergency department reports using locally deployed open-weight large language models. This release supersedes the original R-based workflow published in version 1.0.0. The earlier code and prompts remain av...