large language models

The Borrowed Name: Counterfeit Sanctity, Artificial Intelligence, and the Architecture of the Final Deception

This research paper advances a novel constructive theological argument regarding the intersection of biblical eschatology and generative artificial intelligence (AI). Moving beyond traditional inquiries into the identity or chronology of the Antichrist, the author investigates the mechanism of deception described in Ne...

Learning a Single Token to Replace Long System Prompts in LLMs

A lightweight training framework that learns a single Behavior-Equivalent Token that substantially reduces inference cost and frees nearly the entire context window for user inputs and model outputs.

Quantization-Triggered Backdoors in Language Models: Cross-Quantizer Transferability and the Validation--Deployment Gap

It is demonstrated that source-precision auditing alone does not rule out quantization-triggered behavior and that the final deployed configuration must be included in behavioral certification for trustworthy edge AI.

From Plots to Words: Model-Aware Multimodal Explanations as a Foundation for Accessible, Non-Visual Interaction

A context-aware, multi-agent framework that integrates textual queries, numerical data, visual representations, and model-derived signals for explainable time-series forecasting, which argues makes the approach a natural foundation for non-visual, accessible interaction of particular relevance to blind and visually imp...

Fine-grained Computation-Communication Overlap via Tile-level Signaling and Scheduling for Mixture-of-Experts

This work presents a fine-grained approach that overlaps expert compute with the second all-to-all via tile-level signaling and scheduling, making it practical for improving distributed MoE execution efficiency on multi-GPU systems.

Survey on joint compression and fine-tuning of large language models: Methods, toolchains, and open challenges under resource constraints

Large Language models for banking supervision: reliability evidence from European systemic banks

Vulnerability detection of smart contracts by integrating large language models and dependency analysis

A reference-guided large language model workflow for mobile phase selection in thin-layer chromatography enabled by a polarity-space tetrahedron strategy.

This work demonstrates that combining a locally constrained reference construction strategy with an LLM offers a practical and interpretable tool for TLC mobile phase optimization, without requiring large labeled datasets or task-specific model training.

LLMs in Civil Engineering: Education Usage Patterns, Verification Practices, and Curriculum Implications from a Taxonomy-Aligned Student Survey

Large language models (LLMs) are rapidly entering civil engineering research and practice, yet little is known about their use in educational contexts. This study reports results from an institutional case study based on a taxonomy-aligned survey of 109 respondents (103 undergraduates, four graduate students, and two...

Towards knowledge-infused seabed sediment mapping: A semi-supervised framework integrating large language models and knowledge graphs for multibeam data

A comparative analysis of the role of Large Language Models and Low-Rank Adaptation in Automated Program Repair