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$\textbf{Objectives}$: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models encounter challenges in non-English clinical settings,…

计算与语言 · 计算机科学 2024-01-31 Jiageng Wu , Xian Wu , Zhaopeng Qiu , Minghui Li , Yingying Zhang , Yefeng Zheng , Changzheng Yuan , Jie Yang

The planning ability of Large Language Models (LLMs) has garnered increasing attention in recent years due to their remarkable capacity for multi-step reasoning and their ability to generalize across a wide range of domains. While some…

人工智能 · 计算机科学 2025-02-19 Mohamed Aghzal , Erion Plaku , Gregory J. Stein , Ziyu Yao

Large Language Models (LLMs) have demonstrated strong capabilities in natural language reasoning, yet their application to Cyber Threat Intelligence (CTI) remains limited. CTI analysis involves distilling large volumes of unstructured…

密码学与安全 · 计算机科学 2026-02-17 Md Tanvirul Alam , Dipkamal Bhusal , Salman Ahmad , Nidhi Rastogi , Peter Worth

The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities has spurred public curiosity to evaluate and compare different LLMs, leading many researchers to propose their own LLM benchmarks. Noticing preliminary…

人工智能 · 计算机科学 2025-05-15 Timothy R. McIntosh , Teo Susnjak , Nalin Arachchilage , Tong Liu , Paul Watters , Malka N. Halgamuge

The adoption of Large Language Models (LLMs) for code generation in data science offers substantial potential for enhancing tasks such as data manipulation, statistical analysis, and visualization. However, the effectiveness of these models…

Large language models (LLMs) represent a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards…

计算与语言 · 计算机科学 2023-06-28 Jakob Mökander , Jonas Schuett , Hannah Rose Kirk , Luciano Floridi

Large Language Models (LLMs) have shown remarkable capabilities across a wide variety of Natural Language Processing (NLP) tasks and have attracted attention from multiple domains, including financial services. Despite the extensive…

计算与语言 · 计算机科学 2025-01-14 Jean Lee , Nicholas Stevens , Soyeon Caren Han , Minseok Song

Large Language Models (LLMs) have shown exceptional capabilities in Natural Language Processing (NLP) across diverse domains. However, their application in specialized tasks such as Legal Judgment Prediction (LJP) for low-resource languages…

计算与语言 · 计算机科学 2025-03-03 Mohamed Bayan Kmainasi , Ali Ezzat Shahroor , Amani Al-Ghraibah

Intelligent auditing represents a crucial advancement in modern audit practices, enhancing both the quality and efficiency of audits within the realm of artificial intelligence. With the rise of large language model (LLM), there is enormous…

计算与语言 · 计算机科学 2024-10-16 Jiajia Huang , Haoran Zhu , Chao Xu , Tianming Zhan , Qianqian Xie , Jimin Huang

Large Language Models (LLMs) are advancing at a rapid pace, with significant improvements at natural language processing and coding tasks. Yet, their ability to work with formal languages representing data, specifically within the realm of…

人工智能 · 计算机科学 2023-10-02 Johannes Frey , Lars-Peter Meyer , Natanael Arndt , Felix Brei , Kirill Bulert

Large language models have emerged abilities including chain-of-thought to answer math word problems step by step. Solving math word problems not only requires abilities to disassemble problems via chain-of-thought but also needs to…

计算与语言 · 计算机科学 2023-04-06 Zheng Yuan , Hongyi Yuan , Chuanqi Tan , Wei Wang , Songfang Huang

Cardinality estimation (CardEst) still remains a challenging problem for DBMS. Recent years have witnessed the success of ML-based cardinality estimators in outperforming traditional methods. However, these solutions suffer from poor…

数据库 · 计算机科学 2026-03-31 Liangzu Liu , Yiyan Wang , Yinjun Wu , Runze Su , Zhuo Chang , Peizhi Wu , Jianjun Chen , Fuxin Jiang , Rui Shi , Bin Cui , Tieying Zhang

Recent advances in Large Language Models (LLMs) have presented new opportunities for integrating Artificial General Intelligence (AGI) into biological research and education. This study evaluated the capabilities of leading LLMs, including…

Although several methods were proposed to address the problem of automated essay scoring (AES) in the last 50 years, there is still much to desire in terms of effectiveness. Large Language Models (LLMs) are transformer-based models that…

计算与语言 · 计算机科学 2024-04-17 Watheq Mansour , Salam Albatarni , Sohaila Eltanbouly , Tamer Elsayed

Large Language Models (LLMs), excel in natural language understanding, but their capability for complex mathematical reasoning with an amalgamation of structured tables and unstructured text is uncertain. This study explores LLMs'…

计算与语言 · 计算机科学 2025-10-10 Pragya Srivastava , Manuj Malik , Vivek Gupta , Tanuja Ganu , Dan Roth

Large language models (LLMs) are a special class of pretrained language models obtained by scaling model size, pretraining corpus and computation. LLMs, because of their large size and pretraining on large volumes of text data, exhibit…

计算与语言 · 计算机科学 2023-10-20 Katikapalli Subramanyam Kalyan

Large language models (LLMs) are increasingly embedded in AI-based tutoring systems. Can they faithfully model novice reasoning and metacognitive judgments? Existing evaluations emphasize problem-solving accuracy, overlooking the fragmented…

计算与语言 · 计算机科学 2026-05-12 Conrad Borchers , Jill-Jênn Vie , Roger Azevedo

Increasingly powerful Large Language Model (LLM) based chatbots, like ChatGPT and Bard, are becoming available to users that have the potential to revolutionize the quality of decision-making achieved by the public. In this context, we set…

The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role in business education remains…

计算与语言 · 计算机科学 2024-01-09 Vahid Ashrafimoghari , Necdet Gürkan , Jordan W. Suchow

In light of recent breakthroughs in large language models (LLMs) that have revolutionized natural language processing (NLP), there is an urgent need for new benchmarks to keep pace with the fast development of LLMs. In this paper, we…

计算与语言 · 计算机科学 2024-05-20 Jie Zhu , Junhui Li , Yalong Wen , Lifan Guo