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Large Language Models(LLMs) have revolutionized various applications in natural language processing (NLP) by providing unprecedented text generation, translation, and comprehension capabilities. However, their widespread deployment has…

计算与语言 · 计算机科学 2024-09-26 Rajesh Ranjan , Shailja Gupta , Surya Narayan Singh

Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary…

计算机与社会 · 计算机科学 2026-04-07 Zhicheng Lin

The proliferation of large language models (LLMs) has revolutionized the capabilities of natural language interfaces (NLIs) for data analysis. LLMs can perform multi-step and complex reasoning to generate data insights based on users'…

人机交互 · 计算机科学 2024-12-24 Luoxuan Weng , Xingbo Wang , Junyu Lu , Yingchaojie Feng , Yihan Liu , Haozhe Feng , Danqing Huang , Wei Chen

Uncrewed Aerial Vehicles (UAVs) are widely deployed across diverse applications due to their mobility and agility. Recent advances in Large Language Models (LLMs) offer a transformative opportunity to enhance UAV intelligence beyond…

机器人学 · 计算机科学 2026-03-03 Yousef Emami , Hao Zhou , Radha Reddy , Atefeh Hajijamali Arani , Biliang Wang , Kai Li , Luis Almeida , Zhu Han

Large Language Models (LLMs) have revolutionized various fields with their exceptional capabilities in understanding, processing, and generating human-like text. This paper investigates the potential of LLMs in advancing Network Intrusion…

密码学与安全 · 计算机科学 2025-07-08 Shuo Yang , Xinran Zheng , Xinchen Zhang , Jinfeng Xu , Jinze Li , Donglin Xie , Weicai Long , Edith C. H. Ngai

The integration of Large Language Models (LLMs) into medical applications has sparked widespread interest across the healthcare industry, from drug discovery and development to clinical decision support, assisting telemedicine, medical…

计算与语言 · 计算机科学 2024-12-03 Zifeng Wang , Hanyin Wang , Benjamin Danek , Ying Li , Christina Mack , Hoifung Poon , Yajuan Wang , Pranav Rajpurkar , Jimeng Sun

Capitalizing on the remarkable advancements in Large Language Models (LLMs), there is a burgeoning initiative to harness LLMs for instruction following robotic navigation. Such a trend underscores the potential of LLMs to generalize…

计算机视觉与模式识别 · 计算机科学 2024-09-23 Gengze Zhou , Yicong Hong , Zun Wang , Xin Eric Wang , Qi Wu

The rapid advancement of Large Language Models (LLMs) has opened new possibilities in Multi-Robot Systems (MRS), enabling enhanced communication, task allocation and planning, and human-robot interaction. Unlike traditional single-robot and…

机器人学 · 计算机科学 2026-05-05 Peihan Li , Zijian An , Shams Abrar , Lifeng Zhou

As Large Language Models (LLMs) rise in popularity, it is necessary to assess their capability in critically relevant domains. We present a comprehensive evaluation framework, grounded in science communication research, to assess LLM…

Large Language Models (LLMs) have made significant progress in assisting users to query databases in natural language. While LLM-based techniques provide state-of-the-art results on many standard benchmarks, their performance significantly…

人工智能 · 计算机科学 2024-07-09 Nina Narodytska , Shay Vargaftik

Human mobility studies how people move among meaningful places over time and how these movements aggregate into population-level patterns that shape accessibility, congestion, emissions, and public health. Large language models (LLMs) are…

人机交互 · 计算机科学 2026-03-16 Jie Gao , Yaoxin Wu

In many use-cases, information is stored in text but not available in structured data. However, extracting data from natural language text to precisely fit a schema, and thus enable querying, is a challenging task. With the rise of…

数据库 · 计算机科学 2023-10-26 Mohammed Saeed , Nicola De Cao , Paolo Papotti

The emergence of Large Language Models (LLMs) with increasingly sophisticated natural language understanding and generative capabilities has sparked interest in the Agent-based Modelling (ABM) community. With their ability to summarize,…

Large Language Models (LLMs) have demonstrated remarkable progress in reasoning across diverse domains. However, effective reasoning in real-world tasks requires adapting the reasoning strategy to the demands of the problem, ranging from…

计算与语言 · 计算机科学 2025-08-19 Xinda Jia , Jinpeng Li , Zezhong Wang , Jingjing Li , Xingshan Zeng , Yasheng Wang , Weinan Zhang , Yong Yu , Weiwen Liu

Traditional methods for eliciting people's opinions face a trade-off between depth and scale: structured surveys enable large-scale data collection but limit respondents' ability to voice their opinions in their own words, while…

Survey research has a long-standing history of being a human-powered field, but one that embraces various technologies for the collection, processing, and analysis of various behavioral, political, and social outcomes of interest, among…

数字图书馆 · 计算机科学 2025-09-04 Trent D. Buskirk , Florian Keusch , Leah von der Heyde , Adam Eck

Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to a direct application of existing language models that were…

网络与互联网体系结构 · 计算机科学 2024-02-08 Shengzhe Xu , Christo Kurisummoottil Thomas , Omar Hashash , Nikhil Muralidhar , Walid Saad , Naren Ramakrishnan

The emergence of large language models (LLMs) has revolutionized artificial intelligence, offering unprecedented capabilities in reasoning, generalization, and zero-shot learning. These strengths open new frontiers in wireless…

人工智能 · 计算机科学 2026-03-18 Le Liang , Hao Ye , Yucheng Sheng , Ouya Wang , Jiacheng Wang , Shi Jin , Geoffrey Ye Li

As general-purpose tools, Large Language Models (LLMs) must often reason about everyday physical environments. In a question-and-answer capacity, understanding the interactions of physical objects may be necessary to give appropriate…

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,…