large language models

Home-based sarcopenia diagnosis via multimodal gait analysis and personalized large language model intervention

Estimating difficulty for the open-ended reading comprehension questions via Large Language Models

RAG Learner: An Interactive Tool for Teaching Retrieval-Augmented Generation

RAG Learner is designed as an interactive tool to teach core RAG concepts through structured modules and demonstrated significant learning gains with 26 university participants, alongside consistently high perceived effectiveness.

AI: Stare Non Decisis

It is argued that preserving the Enlightenment commitment to sapere aude may well require the redesign of legal and educational institutions around verification, accountability, transparency, and stewardship.

From knowledge to rules: Explainable molecular optimization with Large Language Models

Low-Latency Turn-Taking via Context-Aware Preface Generation in a Real-World Dialogue Robot

Large language model (LLM)-based dialogue systems suffer response delays because generation begins only after final speech recognition. While fixed fillers are a workaround, they become unnatural over time. We propose a two-stage incremental framework that decouples prefatory-response preparation from speech onset. Onc...

NL2SHACL-Bench: A Benchmark Suite for Natural Language to SHACL Translation

The results show that current LLMs are highly capable of generating syntactically valid SHACL, but still struggle to produce semantically equivalent constraints for complex logical and structural patterns, which indicates that NL2SHACL-Bench provides a meaningful basis for measuring advances in the NL2SHACL state of th...

Full-Layer Memory Injection via Compile-Time Key-Value Caches: An External-Knowledge Mechanism for Small-Parameter Language Models

Knowledge of large language models (LLMs) is frozen in parameters after pretraining and hard to update at low cost. This paper proposes a full-layer memory injection method based on compile-time key-value (KV) caches. Experiments on Qwen3-0.6B show full-layer token-level KV injection raises private-specification QA sco...

Explainable and domain-adaptive prediction models for refrigerant charging in air conditioning systems within industrial processes

AC-RPX improves predictive performance over conventional rule-based heuristic methods while providing clearer diagnostic explanations on real-world consumer data, establishing AC-RPX as a practical solution for automated refrigerant monitoring and decision support in real-world maintenance services.

A survey on synergizing large language models and knowledge graphs for reasoning

The Epistemic Chain Reaction: Human-AI Multiplication from Questions to Readout-Distinguishable Hypotheses — A Controlled Amplification Architecture for Scientific Discovery

Series. Paper IV of the Bounded Knower sequence. Paper I: From Problem to Hypothesis (DOI 10.5281/zenodo.22307148). Paper II: Knowledge Topology and the First Passage to Usable Hypotheses (DOI 10.5281/zenodo.22307561). Paper III: Before Evidence Can Decide (DOI 10.5281/zenodo.22307564). Status. GLOSA K0 conceptual and...

A Study on Impact of Generative AI on Investment Decision-making at Motilal Oswal Financial Services Ltd.

The study concludes that integrating Generative AI into investment workflows is highly financially feasible and operationally sustainable, providing a significant competitive advantage for modern asset management institutions.