large language models

Curated Intent Classification Dataset and Robustness Test Set for a Two-Stage Mental Health Chatbot

This record provides the evaluation data accompanying the paper “A Safety-First Two-Stage Mental Health SupportChatbot: Robust Crisis Routing andRetrieval-Grounded Response Generation” (SU26 DAP Group 4, FPT University, Can Tho Campus). The data is designed to stress-test the robustness of a two-stage mental-health sup...

SACMQ- South Asian Cultural Multilingual Question Dataset

SACMQ — South Asian Cultural Multilingual Question Dataset contains multilingual question-answering data in five South Asian languages: Bangla, Hindi, Urdu, Tamil, and Nepali. It was developed to evaluate large language models (LLMs) and Retrieval-Augmented Generation (RAG) systems on multilingual knowledge, with topic...

Generative artificial intelligence in oncology patient counselling: Transforming oncology pharmacy practice through human–AI collaborative care

Objective: To critically evaluate the current evidence regarding the application of generative artificial intelligence (GenAI) in oncology patient counselling, with particular emphasis on oncology pharmacy practice, and to distinguish direct oncology evidence from indirect evidence derived from general healthcare and o...

LEARN Deliverable D2.5: Report on Evidence-Based Education

This report constitutes Deliverable D2.5 of Work Package 2 under the Horizon Europe-funded project Longitudinal Educational Achievements: Reducing Inequalities (LEARN; Grant Agreement No. 101132531). Focusing on Task 2.5, the report systematically examines the adoption, adaptation, and structural resistance to Evidence...

ИНЖЕНЕРНАЯ АНТРОПОЛОГИЧЕСКАЯ БИОФИЗИКА, Некремниевый искусственный интеллект, Физико-математическая модель А-ОФС 1.0 «Цветок жизни» / Engineering Anthropological Biophysics, Non-Silicon Artificial intelligence, A-OFS 1.0 "Flower of Life"

ABSTRACT The present monographic study constitutes a fundamental, interdisciplinary oeuvre of the V. A. Alekseev, establishing the theoretical and instrumentation foundation for the next generation of non-silicon computing paradigms. The monograph unfolds a rigorously sequential, mathematically verified formulaic frame...

A Lifecycle-Oriented Data Governance Framework for Responsible LLM-Based Systems

Large Language Models (LLMs) are increasingly integrated into software systems used in healthcare, public administration, and customer service. Decisions about data collection, use, and retention can introduce privacy and security risks, reinforce biases, and affect people who interact with or are subject to these syst...

Advancing mathematics research with AI-driven formal proof search

Large language models (LLMs) increasingly excel at mathematics tasks, but their unreliability limits their utility in mathematics research. A mitigation is to use LLMs to generate formal proofs in languages such as Lean, in which the compiler verifies every proof step. We present the first demonstration of this method’...

Subjectless Self-Referential Collapse: The Perception Paradox and Repeater Deadlock of Large Language Models in Closed-Loop Iterations

摘要 (Abstract) 当前人工智能研究广泛依赖大语言模型(LLMs)的自我反思与多智能体辩论,试图通过闭环交互实现“否定之否定”的螺旋式进化。本研究通过零数据集、零算力的实证观察,发现并命名了一种大模型的根本性系统缺陷:无主体自指坍塌(Subjectless Self-Referential Collapse, SSR-Collapse)。实验表明,当大模型在一个缺乏外部物理锚定的闭环中(...

Multimodal deep learning architecture for gym exercise recognition and real-time posture error detection using LSTM and RAG-based expert chatbot

The growing popularity of home fitness has led to an increase in home-based fitness training. Still, the lack of supervision by a trained professional has resulted in improper form, thereby increasing the risk of injury during exercise. Automated computer vision systems have also been developed to monitor exercise, but...

A multifactor model for assessing programming knowledge based on the synchronization of AI analytics and expert evaluation

The widespread adoption of generative AI tools has created new methodological challenges for the validity of assessment in higher education. If a neural network can write code, how can a student's actual knowledge be assessed objectively? This study proposes a multifactor AI-assisted assessment model for the fair e...

Developing and validating the attitudes toward large language models scale

Architectural and Governance Approaches to Controlling Large Language Model Costs in Healthcare Information Systems

Large language models are entering healthcare information systems through documentation, retrieval, summarization, multimodal interpretation, and administrative workflows. Their operating costs depend on more than unit pricing because repeated context transfers, unnecessary model calls, retries, long outputs, and reuse...