Advances in artificial intelligence: a review for the creative industries [0.03%]
人工智能的发展：创意产业的回顾与研究
Nantheera Anantrasirichai,Fan Zhang,David Bull
Nantheera Anantrasirichai
Artificial intelligence (AI) has undergone transformative advances since 2022, particularly through generative AI, large language models (LLMs), and diffusion models, fundamentally reshaping the creative industries. However, existing review...
Exploring unanswerability in machine reading comprehension: approaches, benchmarks, and open challenges [0.03%]
探索阅读理解中不可回答性：方法、基准和公开挑战
Hadiseh Moradisani,Fattane Zarrinkalam,Zeinab Noorian et al.
Hadiseh Moradisani et al.
The challenge of unanswerable questions in Machine Reading Comprehension (MRC) has drawn considerable attention, as current MRC systems are typically designed under the assumption that every question has a valid answer within the provided c...
Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions [0.03%]
大型语言模型的知识蒸馏和数据集蒸馏：新兴趋势、挑战及未来方向
Luyang Fang,Xiaowei Yu,Jiazhang Cai et al.
Luyang Fang et al.
The exponential growth of Large Language Models (LLMs) continues to highlight the need for efficient strategies to meet ever-expanding computational and data demands. This survey provides a comprehensive analysis of two complementary paradi...
Validation is the central challenge for generative social simulation: a critical review of LLMs in agent-based modeling [0.03%]
验证是生成式社会模拟的核心挑战：对LLM在基于代理建模中的批判性审查
Maik Larooij,Petter Törnberg
Maik Larooij
Recent advances in Large Language Models (LLMs) have revitalized interest in Agent-Based Models (ABMs) by enabling "generative" simulations, with agents that can plan, reason, and interact through natural language. These developments promis...
Individual variable priority: a model-independent local gradient method for variable importance [0.03%]
个体变量优先级：一种模型无关的局部梯度变量重要性方法
Min Lu,Hemant Ishwaran
Min Lu
Traditional variable importance measures quantify overall feature contributions but often overlook individual-level heterogeneity. Several new procedures attempt to address this limitation but remain model dependent and may introduce biases...
Yi Dong,Ronghui Mu,Yanghao Zhang et al.
Yi Dong et al.
In the burgeoning field of Large Language Models (LLMs), developing a robust safety mechanism, colloquially known as "safeguards" or "guardrails", has become imperative to ensure the ethical use of LLMs within prescribed boundaries. This ar...
Artificial intelligence in four-dimensional imaging for motion management in radiation therapy [0.03%]
人工智能在放射治疗运动管理的四维成像中的应用
Wang Yinghui,Xiao Haonan,Wang Jing et al.
Wang Yinghui et al.
Four-dimensional imaging (4D-imaging) plays a critical role in achieving precise motion management in radiation therapy. However, challenges remain in 4D-imaging such as a long imaging time, suboptimal image quality, and inaccurate motion e...
Applications of machine learning for computer-aided diagnosis of Parkinson's disease: progress and benchmark case study [0.03%]
机器学习在计算机辅助诊断帕金森病中的应用：进展与基准案例研究
Juntao Zhang,Yiming Zhang,Ying Weng et al.
Juntao Zhang et al.
Machine learning (ML) has emerged as a vital tool for the diagnosis of Parkinson's Disease (PD). This study presents a comprehensive review on the applications of ML for computer-aided diagnosis (CAD) of PD. We conducted a comprehensive rev...
Improved decisions for unknown behaviours in interactive dynamic influence diagrams [0.03%]
用于交互动态影响图中未知行为的改进决策方法
Yinghui Pan,Mengen Zhou,Biyang Ma et al.
Yinghui Pan et al.
Interactive dynamic influence diagrams (I-DIDs) are a general decision framework for a subject agent who interacts with other agents (of either collaborative or competitive) in a common environment with partial observability. The subject ag...
A survey of NLP methods for oncology in the past decade with a focus on cancer registry applications [0.03%]
近十年来肿瘤学的自然语言处理方法综述及其在癌症登记中的应用
Isaac Hands,Ramakanth Kavuluru
Isaac Hands
Clinical texts from pathology and radiology reports provide critical information for cancer diagnosis and staging. This study surveys the application of natural language processing (NLP) in cancer registry operations from 2014 to 2024. A to...