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Recently, tool learning with large language models (LLMs) has emerged as a promising paradigm for augmenting the capabilities of LLMs to tackle highly complex problems. Despite growing attention and rapid advancements in this field, the…

Computation and Language · Computer Science 2024-11-05 Changle Qu , Sunhao Dai , Xiaochi Wei , Hengyi Cai , Shuaiqiang Wang , Dawei Yin , Jun Xu , Ji-Rong Wen

There have been rapid advancements in the capabilities of large language models (LLMs) in recent years, greatly revolutionizing the field of natural language processing (NLP) and artificial intelligence (AI) to understand and interact with…

Computation and Language · Computer Science 2024-09-26 Zeyneb N. Kaya , Souvick Ghosh

The increasing complexity of software systems has driven significant advancements in program analysis, as traditional methods unable to meet the demands of modern software development. To address these limitations, deep learning techniques,…

Software Engineering · Computer Science 2025-02-27 Jiayimei Wang , Tao Ni , Wei-Bin Lee , Qingchuan Zhao

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities in these domains and their potential…

Machine Learning · Computer Science 2024-11-18 Mayk Caldas Ramos , Christopher J. Collison , Andrew D. White

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…

Artificial Intelligence · Computer Science 2025-02-19 Mohamed Aghzal , Erion Plaku , Gregory J. Stein , Ziyu Yao

The era of intelligent agents is upon us, driven by revolutionary advancements in large language models. Large Language Model (LLM) agents, with goal-driven behaviors and dynamic adaptation capabilities, potentially represent a critical…

Within the rapidly evolving domain of Electronic Design Automation (EDA), Large Language Models (LLMs) have emerged as transformative technologies, offering unprecedented capabilities for optimizing and automating various aspects of…

Machine Learning · Computer Science 2025-01-17 Jingyu Pan , Guanglei Zhou , Chen-Chia Chang , Isaac Jacobson , Jiang Hu , Yiran Chen

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their…

Computation and Language · Computer Science 2024-01-01 Yupeng Chang , Xu Wang , Jindong Wang , Yuan Wu , Linyi Yang , Kaijie Zhu , Hao Chen , Xiaoyuan Yi , Cunxiang Wang , Yidong Wang , Wei Ye , Yue Zhang , Yi Chang , Philip S. Yu , Qiang Yang , Xing Xie

Large Language Models (LLMs) are starting to be profiled as one of the most significant disruptions in the Software Testing field. Specifically, they have been successfully applied in software testing tasks such as generating test code, or…

Software Engineering · Computer Science 2025-09-30 Cristian Augusto , Antonia Bertolino , Guglielmo De Angelis , Francesca Lonetti , Jesús Morán

Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic…

Computation and Language · Computer Science 2025-07-14 Lu Xiang , Yang Zhao , Yaping Zhang , Chengqing Zong

Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling, such as prediction, tabular data synthesis, question answering, and table…

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

Mathematical reasoning and optimization are fundamental to artificial intelligence and computational problem-solving. Recent advancements in Large Language Models (LLMs) have significantly improved AI-driven mathematical reasoning, theorem…

Artificial Intelligence · Computer Science 2025-03-25 Ali Forootani

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional…

This study analyzes the multiple functions of Large Language Models (LLMs) in transforming research and development (R&D) processes. By automating knowledge discovery, boosting hypothesis creation, integrating transdisciplinary insights,…

Computation and Language · Computer Science 2025-11-25 Raha Aghaei , Ali A. Kiaei , Mahnaz Boush , Mahan Rofoosheh , Mohammad Zavvar

Design studies aim to create visualization solutions for real-world problems of different application domains. Recently, the emergence of large language models (LLMs) has introduced new opportunities to enhance the design study process,…

Human-Computer Interaction · Computer Science 2025-08-14 Shaolun Ruan , Rui Sheng , Xiaolin Wen , Jiachen Wang , Tianyi Zhang , Yong Wang , Tim Dwyer , Jiannan Li

Large Language Models (LLMs) have garnered considerable interest due to their impressive natural language capabilities, which in conjunction with various emergent properties make them versatile tools in workflows ranging from complex code…

Materials Science · Physics 2024-10-22 Ge Lei , Ronan Docherty , Samuel J. Cooper

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

Human-Computer Interaction · Computer Science 2024-04-10 M. Namvarpour , A. Razi

Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding,…

Information Retrieval · Computer Science 2024-10-29 Qi Wang , Jindong Li , Shiqi Wang , Qianli Xing , Runliang Niu , He Kong , Rui Li , Guodong Long , Yi Chang , Chengqi Zhang

This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospective future…

Machine Learning · Computer Science 2024-02-19 Jing Su , Chufeng Jiang , Xin Jin , Yuxin Qiao , Tingsong Xiao , Hongda Ma , Rong Wei , Zhi Jing , Jiajun Xu , Junhong Lin