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Operations research (OR) is a core methodology that supports complex system decision-making, with broad applications in transportation, supply chain management, and production scheduling. However, traditional approaches that rely on…

Artificial Intelligence · Computer Science 2025-10-15 Yang Wang , Kai Li

Mobility analysis is a crucial element in the research area of transportation systems. Forecasting traffic information offers a viable solution to address the conflict between increasing transportation demands and the limitations of…

Machine Learning · Computer Science 2025-02-24 Zijian Zhang , Yujie Sun , Zepu Wang , Yuqi Nie , Xiaobo Ma , Ruolin Li , Peng Sun , Xuegang Ban

Large Language Models (LLMs) have achieved remarkable success across a wide range of natural language tasks, and recent efforts have sought to extend their capabilities to multimodal domains and resource-constrained environments. However,…

Machine Learning · Computer Science 2025-05-26 Yun-Da Tsai

Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing fields well beyond Natural Language Processing (NLP) and…

Information Theory · Computer Science 2024-02-27 Ali Maatouk , Nicola Piovesan , Fadhel Ayed , Antonio De Domenico , Merouane Debbah

Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are adapting to and…

Computation and Language · Computer Science 2025-06-24 Weixin Liang

Logical reasoning consistently plays a fundamental and significant role in the domains of knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) have emerged as a noteworthy innovation in natural language…

Computation and Language · Computer Science 2024-09-17 Fangzhi Xu , Qika Lin , Jiawei Han , Tianzhe Zhao , Jun Liu , Erik Cambria

Language models (LMs) are machine learning models designed to predict linguistic patterns by estimating the probability of word sequences based on large-scale datasets, such as text. LMs have a wide range of applications in natural language…

Large language models (LLMs) show increasingly advanced emergent capabilities and are being incorporated across various societal domains. Understanding their behavior and reasoning abilities therefore holds significant importance. We argue…

Computation and Language · Computer Science 2024-08-09 Thilo Hagendorff , Ishita Dasgupta , Marcel Binz , Stephanie C. Y. Chan , Andrew Lampinen , Jane X. Wang , Zeynep Akata , Eric Schulz

The exponential growth of digital content has generated massive textual datasets, necessitating the use of advanced analytical approaches. Large Language Models (LLMs) have emerged as tools that are capable of processing and extracting…

Computation and Language · Computer Science 2024-05-24 Benjamin M. Ampel , Chi-Heng Yang , James Hu , Hsinchun Chen

Large Language Models (LLMs) have emerged as powerful support tools across various natural language tasks and a range of application domains. Recent studies focus on exploring their capabilities for data annotation. This paper provides a…

Computation and Language · Computer Science 2025-07-01 Maja Pavlovic , Massimo Poesio

Optimization algorithms and large language models (LLMs) enhance decision-making in dynamic environments by integrating artificial intelligence with traditional techniques. LLMs, with extensive domain knowledge, facilitate intelligent…

Neural and Evolutionary Computing · Computer Science 2024-05-17 Sen Huang , Kaixiang Yang , Sheng Qi , Rui Wang

Large Language Models (LLMs) have transformed numerous domains by providing advanced capabilities in natural language understanding, generation, and reasoning. Despite their groundbreaking applications across industries such as research,…

Artificial Intelligence · Computer Science 2025-01-22 Aditi Singh , Nirmal Prakashbhai Patel , Abul Ehtesham , Saket Kumar , Tala Talaei Khoei

Accurate and verifiable large language model (LLM) simulations of human research subjects promise an accessible data source for understanding human behavior and training new AI systems. However, results to date have been limited, and few…

Human-Computer Interaction · Computer Science 2025-06-06 Jacy Reese Anthis , Ryan Liu , Sean M. Richardson , Austin C. Kozlowski , Bernard Koch , James Evans , Erik Brynjolfsson , Michael Bernstein

Large language models (LLMs) are the result of a massive experiment in bottom-up, data-driven reverse engineering of language at scale. Despite their utility in a number of downstream NLP tasks, ample research has shown that LLMs are…

Artificial Intelligence · Computer Science 2024-08-05 Walid S. Saba

The rapid advancement of artificial intelligence, particularly with the development of Large Language Models (LLMs) built on the transformer architecture, has redefined the capabilities of natural language processing. These models now…

Computation and Language · Computer Science 2025-02-11 Andrea Matarazzo , Riccardo Torlone

Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderly care. Recent advancements in large language models (LLMs)…

Machine Learning · Computer Science 2023-10-10 Zheng Zhang , Hossein Amiri , Zhenke Liu , Andreas Züfle , Liang Zhao

Recent advances in large language models (LLMs) have sparked growing interest in integrating language-driven techniques into trajectory prediction. By leveraging their semantic and reasoning capabilities, LLMs are reshaping how autonomous…

Computation and Language · Computer Science 2025-10-08 Yi Xu , Ruining Yang , Yitian Zhang , Jianglin Lu , Mingyuan Zhang , Yizhou Wang , Lili Su , Yun Fu

Large Language Models (LLMs) are transformative not only for daily activities but also for engineering tasks. However, current evaluations of LLMs in engineering exhibit two critical shortcomings: (i) the reliance on simplified use cases,…

Artificial Intelligence · Computer Science 2025-05-21 Rene Heesch , Sebastian Eilermann , Alexander Windmann , Alexander Diedrich , Philipp Rosenthal , Oliver Niggemann

Large Language Models (LLMs) hold promise in automating data analysis tasks, yet open-source models face significant limitations in these kinds of reasoning-intensive scenarios. In this work, we investigate strategies to enhance the data…

Computation and Language · Computer Science 2025-11-14 Yuqi Zhu , Yi Zhong , Jintian Zhang , Ziheng Zhang , Shuofei Qiao , Yujie Luo , Lun Du , Da Zheng , Ningyu Zhang , Huajun Chen

Strong Artificial Intelligence (Strong AI) or Artificial General Intelligence (AGI) with abstract reasoning ability is the goal of next-generation AI. Recent advancements in Large Language Models (LLMs), along with the emerging field of…

Computation and Language · Computer Science 2024-01-19 Yiqi Wang , Wentao Chen , Xiaotian Han , Xudong Lin , Haiteng Zhao , Yongfei Liu , Bohan Zhai , Jianbo Yuan , Quanzeng You , Hongxia Yang