large language models

Pengaruh intensitas screentime dan kualitas konten terhadap perkembangan bahasa anak usia dini (3–6 tahun)

The increasing use of digital media among young children has raised concerns regarding its relationship with language development. This study aimed to analyze the effects of screen time intensity and content quality on the language development of children aged 3–6 years. A quantitative approach with a regression design...

Agentic AI for Autonomous Decision-Making: Machine Learning Beyond Large Language Models

Agentic AI for Autonomous Decision-Making: Machine Learning Beyond Large Language Models

Philosophy of Artificial Intelligence: From Turing to Large Language Models

Artificial intelligence presents deep and important philosophical questions, ranging from whether computers can think, whether large language models truly understand language and whether AI can be creative, to moral and political issues, criminal justice, health, and the future of work. In this much-needed book, Donald...

Calibration-Aware Reinforcement Learning for Large Language Models: A Survey of Objectives, Optimization, and Decision-Making

Large language models increasingly emit confidence reports, predictive distributions, and typed decisions that determine whether a system answers, abstains, retrieves evidence, or spends more computation. We survey calibration-aware reinforcement learning (RL), in which a reported probability is scored by the reward, c...

The Equals Sign Has Distinct Roots Too ── 3rd Edition: What the Yamagishi Full-Synchronisation Equation Was Chaining ── [Paper 16]

The first edition of this paper presented the one-line chain p=4πv=e/r=c√n_opt and claimed that four domains of physics were thereby "fully synchronised". The second edition found that the three equals signs have different logical standings and withdrew the "grand unification" claim. The 3rd edition turns that finding...

BLR-850: 850 Blocksworld, 850 Logistics and 850 Rovers PDDL Problems and Natural Language Prompts

Benchmark corpus for the manuscript "Grounding Large Language Models in a Symbolic Formalization Environment for Natural-Language Planning". The corpus contains 2,550 natural-language planning requests with their ground-truth PDDL problems. It covers 850 problems in each of three International Planning Competition (IPC...

Metadata-Driven Automation of Corporate Business Intelligence Systems Using AI and Python Pipelines

A metadata-driven automation framework that leverages AI-assisted refactoring and Python-based pipelines to accelerate migration while maintaining functional correctness is presented, providing a scalable blueprint for enterprise-wide BI modernization.

Pola Asuh Orang Tua untuk Perkembangan Bahasa dan Perilaku Berkata Kasar Pada Anak Usia Lima Tahun

This study aims to describe the parenting styles of parents toward a five-year-old child whose language development is not age-appropriate, as indicated by a tendency to use coarse language, and to analyze the relationship between these parenting styles and that tendency. This study employs a qualitative descriptive ap...

Agentic Workflow for Automated Systematic Literature Review: A Case Study on Generative AI Applications in the Oil and Gas Industry

The rapid expansion of generative AI across the oil and gas applications has created an urgent need for structured review on emerging research trends. However, traditional systematic literature reviews (SLRs) are time-consuming and difficult to scale as the volume of AI publications grows every day. This paper propos...

A Survey on Resource Scheduling and Optimization for Space‑Air‑Ground Integrated Communication‑Sensing‑Computation Networks

The development of sixth generation (6G) communications is aimed at achieving global connectivity, covering oceans and remote areas with limited ground infrastructure. With the integration of sensing, communication and computing (ISCC) technology, the space-air-ground integrated network (SAGIN) is evolving from a simpl...

Six Architectures for Automated IELTS Writing Assessment: A Comparative Evaluation of Scoring Behaviour, Latency, and Cost

Automated evaluation of IELTS Writing Task 2 essays requires judging task fulfilment, coherence, vocabulary, and grammar in ways that approximate trained human examiners, while remaining fast and inexpensive enough for practical deployment. This paper presents a systematic comparison of six architectures for automated...