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The advent of large language models (LLMs) has significantly advanced various fields, including natural language processing and automated dialogue systems. This paper explores the application of LLMs in psychological counseling, addressing…

Computation and Language · Computer Science 2024-06-21 Wenjie Li , Tianyu Sun , Kun Qian , Wenhong Wang

Although large language models (LLMs) have advanced the state-of-the-art in NLP significantly, deploying them for downstream applications is still challenging due to cost, responsiveness, control, or concerns around privacy and security. As…

Computation and Language · Computer Science 2023-11-01 Dong-Ho Lee , Jay Pujara , Mohit Sewak , Ryen W. White , Sujay Kumar Jauhar

The number and dynamic nature of web and mobile applications presents significant challenges for assessing their compliance with data protection laws. In this context, symbolic and statistical Natural Language Processing (NLP) techniques…

Computation and Language · Computer Science 2025-12-22 David Rodriguez , Ian Yang , Jose M. Del Alamo , Norman Sadeh

Large Language Models (LLMs) have demonstrated remarkable adaptability, showcasing their capacity to excel in tasks for which they were not explicitly trained. However, despite their impressive natural language processing (NLP)…

Computation and Language · Computer Science 2023-09-08 Supun Manathunga , Isuru Hettigoda

Large language models (LLMs) have significantly advanced various natural language processing (NLP) tasks. Recent research indicates that moderately-sized LLMs often outperform larger ones after task-specific fine-tuning. This study focuses…

Computation and Language · Computer Science 2024-10-14 Minghao Wu , Thuy-Trang Vu , Lizhen Qu , George Foster , Gholamreza Haffari

Large Language Models (LLMs) are the cornerstone in automating Requirements Engineering (RE) tasks, underpinning recent advancements in the field. Their pre-trained comprehension of natural language is pivotal for effectively tailoring them…

Software Engineering · Computer Science 2024-05-16 Andreas Vogelsang , Jannik Fischbach

As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding…

Software Engineering · Computer Science 2025-07-18 Lingzhe Zhang , Tong Jia , Mengxi Jia , Yifan Wu , Aiwei Liu , Yong Yang , Zhonghai Wu , Xuming Hu , Philip S. Yu , Ying Li

The rapid evolution of Large Language Models (LLMs) has markedly expanded their application across diverse domains, transforming how complex problems are approached and solved. Initially conceived to predict subsequent words in texts, these…

Artificial Intelligence · Computer Science 2024-07-11 Sumedh Rasal , E. J. Hauer

With the advent of large language models (LLMs), there is a growing interest in applying LLMs to scientific tasks. In this work, we conduct an experimental study to explore applicability of LLMs for configuring, annotating, translating,…

Human-Computer Interaction · Computer Science 2025-10-13 Orcun Yildiz , Tom Peterka

Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. These models far exceed the complexity of conventional neural…

Machine Learning · Computer Science 2024-12-05 Minghao Shao , Abdul Basit , Ramesh Karri , Muhammad Shafique

The networking field is characterized by its high complexity and rapid iteration, requiring extensive expertise to accomplish network tasks, ranging from network design, configuration, diagnosis and security. The inherent complexity of…

Networking and Internet Architecture · Computer Science 2024-04-30 Chang Liu , Xiaohui Xie , Xinggong Zhang , Yong Cui

Topic modeling is a fundamental task in natural language processing, allowing the discovery of latent thematic structures in text corpora. While Large Language Models (LLMs) have demonstrated promising capabilities in topic discovery, their…

Computation and Language · Computer Science 2025-06-03 Xiaohao Yang , He Zhao , Weijie Xu , Yuanyuan Qi , Jueqing Lu , Dinh Phung , Lan Du

Natural language processing (NLP) has recently gained relevance within financial institutions by providing highly valuable insights into companies and markets' financial documents. However, the landscape of the financial domain presents…

Computation and Language · Computer Science 2024-01-29 Pau Rodriguez Inserte , Mariam Nakhlé , Raheel Qader , Gaetan Caillaut , Jingshu Liu

Large language models (LLMs) are among the best methods for processing natural language, partly due to their versatility. At the same time, domain-specific LLMs are more practical in real-life applications. This work introduces a novel…

Computation and Language · Computer Science 2025-03-18 Arkadiusz Bryłkowski , Jakub Klikowski

Large language models (LLM) are advanced AI systems trained on extensive textual data, leveraging deep learning techniques to understand and generate human-like language. Today's LLMs with billions of parameters are so huge that hardly any…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-14 Sheikh Azizul Hakim , Saem Hasan

Large Language Model (LLM) techniques play an increasingly important role in Natural Language to SQL (NL2SQL) translation. LLMs trained by extensive corpora have strong natural language understanding and basic SQL generation abilities…

Databases · Computer Science 2024-04-01 Tonghui Ren , Yuankai Fan , Zhenying He , Ren Huang , Jiaqi Dai , Can Huang , Yinan Jing , Kai Zhang , Yifan Yang , X. Sean Wang

Multimodal Large Language Models (MLLMs) enhance the potential of natural language processing. However, their actual impact on document information extraction remains unclear. In particular, it is unclear whether an MLLM-only…

Computation and Language · Computer Science 2026-03-04 Jiyuan Shen , Peiyue Yuan , Atin Ghosh , Yifan Mai , Daniel Dahlmeier

Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these models have extended their capabilities to coding tasks,…

Machine Learning · Computer Science 2024-10-23 Nishat Raihan , Mohammed Latif Siddiq , Joanna C. S. Santos , Marcos Zampieri

While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this field remains largely unexplored. This study aims to…

Computation and Language · Computer Science 2025-08-26 Libo Qin , Qiguang Chen , Xiachong Feng , Yang Wu , Yongheng Zhang , Yinghui Li , Min Li , Wanxiang Che , Philip S. Yu

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