large language models

A Review of Neural Question Generation: Approaches, Challenges, and Future Directions

This survey provides a comprehensive review of developments in NQG, spanning traditional neural approaches to the latest paradigms driven by large language models (LLMs) and multimodal large language models (MLLMs).

PALRec: Large Language Model-Based Sequential Recommendation with Parameter-Preserving Augmentation

PALRec is proposed, a parameter-preserving augmentation framework that equips an LLM with recommendation capabilities while keeping its original parameters fixed and consistently outperforms fully fine-tuned counterparts in recommendation accuracy while preserving the LLM’s pre-trained knowledge.

Atlantis: An integrative database for human proteome structural and functional sites

Atlantis, a database that integrates structural and functional information at the human proteome residue level and a Model Context Protocol (MCP) connector allows the interrogation of the resource through Large Language Models (LLMs) or agentic frameworks for biomedical research.

A domain-specific lightweight GPT model for instructor feedback generation in air traffic control training

Transforming Physical Education and Sport Sciences Education in the Age of Smartification: A Narrative–Analytical Review of Technologies, Applications, Opportunities, and Challenges

The expansion of smart technologies has transformed teaching and learning paradigms in physical education and sport sciences, paving the way for interactive, data-driven, and personalized instruction. Objective: This study aimed to examine the role of smart technologies in transforming physical education instruction an...

zksdu/llm-acmg-variant-audit: v1.1.0 — manuscript submission version

Companion code and data for "Multi-vendor evaluation of large language models for ACMG/AMP variant classification with controlled data contamination" (Journal of Genetics and Genomics). 9 LLMs × 5,000 temporally-blinded ClinVar variants (45,000 evaluations), with sub-experiments on allele-frequency ablation, conflictin...

Towards a New Computational Paradigm

This chapter traces the emergence of a new computational paradigm shaped by advances in neural networks, generative models, and multimodal intelligence. It outlines the evolution from expert systems – rule-based and deterministic – to adaptive learning systems capable of inference and creativity. The rise of architectu...

A Pedagogical Agent Toolkit for K-12 Education Contexts

The Pedagogical Agent Toolkit (PATK) is introduced, an extendable and modular toolkit with AI-based features with the purpose of expanding novice designer agency and opportunity in the creation and customization of PAs.

VietLegalLM: Progressive Legal Expertise Through Synthetic Comprehension and Reinforcement Learning

This work presents vilaw-bench, a novel evaluation benchmark tailored for Vietnamese statute-based legal reasoning that assesses cognitive abilities from basic knowledge retrieval to complex legal interpretation, and proposes a multi-stage training framework that progressively builds legal expertise through four phases...

Reproducing Hierarchies

This study examines how AI-generated children’s stories produced by large language models (LLMs, e.g., ChatGPT) reflect and reproduce social biases in the social representations of intelligence across gender, racial identity, socioeconomic status, and educational level. We ask three questions: (1) how these narratives...

Resonance: A Cognitive and Hermeneutic Theory of Long-Form Human–AI Interaction

This paper develops a cognitive and hermeneutic theory of resonance in long-form human–AI interaction. Resonance is described as an emergent interpretive phenomenon in dialogue, arising from shifts in perceptual loops, schema flexibility, interpretive registers, and meaning structures. The theory outlines how sustained...

Replication Package for Understanding Architectural Degradation. A Large Language Model-assisted Multivocal Literature Review

Replication Package The package contains the datasets, source code, validation results, and generated outputs used throughout the study. It enables researchers to reproduce the literature review, data extraction, coding, validation, and analysis procedures reported in the paper. Note: All the hyperlinks referring to th...