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In recent years, Recommender Systems(RS) have witnessed a transformative shift with the advent of Large Language Models(LLMs) in the field of Natural Language Processing(NLP). These models such as OpenAI's GPT-3.5/4, Llama from Meta, have…

Information Retrieval · Computer Science 2023-11-22 Junyi Chen

Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding and language generation, and thus have the potential to make a substantial impact on our society. Such…

Computation and Language · Computer Science 2024-05-24 Zhongwei Wan , Xin Wang , Che Liu , Samiul Alam , Yu Zheng , Jiachen Liu , Zhongnan Qu , Shen Yan , Yi Zhu , Quanlu Zhang , Mosharaf Chowdhury , Mi Zhang

The use of Large Language Models (LLMs) has drawn growing interest within the scientific community. LLMs can handle large volumes of textual data and support methods for evidence synthesis. Although recent studies highlight the potential of…

Software Engineering · Computer Science 2026-02-12 Cauã Ferreira Barros , Marcos Kalinowski , Mohamad Kassab , Valdemar Vicente Graciano Neto

The application of machine learning (ML) in a range of geospatial tasks is increasingly common but often relies on globally available covariates such as satellite imagery that can either be expensive or lack predictive power. Here we…

Computation and Language · Computer Science 2024-02-27 Rohin Manvi , Samar Khanna , Gengchen Mai , Marshall Burke , David Lobell , Stefano Ermon

Large Language Models (LLMs) excel in handling general knowledge tasks, yet they struggle with user-specific personalization, such as understanding individual emotions, writing styles, and preferences. Personalized Large Language Models…

Artificial Intelligence · Computer Science 2025-09-23 Jiahong Liu , Zexuan Qiu , Zhongyang Li , Quanyu Dai , Wenhao Yu , Jieming Zhu , Minda Hu , Menglin Yang , Tat-Seng Chua , Irwin King

Large audio-language models (LALMs) enhance traditional large language models by integrating audio perception capabilities, allowing them to tackle audio-related tasks. Previous research has primarily focused on assessing the performance of…

Audio and Speech Processing · Electrical Eng. & Systems 2024-06-13 Chun-Yi Kuan , Wei-Ping Huang , Hung-yi Lee

The language generation and reasoning capabilities of large language models (LLMs) have enabled conversational systems with impressive performance in a variety of tasks, from code generation, to composing essays, to passing STEM and legal…

Artificial Intelligence · Computer Science 2025-02-28 Konstantina Christakopoulou , Iris Qu , John Canny , Andrew Goodridge , Cj Adams , Minmin Chen , Maja Matarić

Forecasting future events is important for policy and decision making. In this work, we study whether language models (LMs) can forecast at the level of competitive human forecasters. Towards this goal, we develop a retrieval-augmented LM…

Machine Learning · Computer Science 2024-02-29 Danny Halawi , Fred Zhang , Chen Yueh-Han , Jacob Steinhardt

Large-scale task planning is a major challenge. Recent work exploits large language models (LLMs) directly as a policy and shows surprisingly interesting results. This paper shows that LLMs provide a commonsense model of the world in…

Robotics · Computer Science 2023-10-31 Zirui Zhao , Wee Sun Lee , David Hsu

Large Language Models (LLMs) as chatbots have drawn remarkable attention thanks to their versatile capability in natural language processing as well as in a wide range of tasks. While there has been great enthusiasm towards adopting such…

Systems and Control · Electrical Eng. & Systems 2024-06-24 Subir Majumder , Lin Dong , Fatemeh Doudi , Yuting Cai , Chao Tian , Dileep Kalathi , Kevin Ding , Anupam A. Thatte , Na Li , Le Xie

With the development of large language models (LLMs) like the GPT series, their widespread use across various application scenarios presents a myriad of challenges. This review initially explores the issue of domain specificity, where LLMs…

Computation and Language · Computer Science 2023-10-23 Xiaoliang Chen , Liangbin Li , Le Chang , Yunhe Huang , Yuxuan Zhao , Yuxiao Zhang , Dinuo Li

Large pre-trained language models have demonstrated their proficiency in storing factual knowledge within their parameters and achieving remarkable results when fine-tuned for downstream natural language processing tasks. Nonetheless, their…

Computation and Language · Computer Science 2023-09-29 Konstantinos Andriopoulos , Johan Pouwelse

Problem-solving has been a fundamental driver of human progress in numerous domains. With advancements in artificial intelligence, Large Language Models (LLMs) have emerged as powerful tools capable of tackling complex problems across…

Machine Learning · Computer Science 2025-05-07 Da Zheng , Lun Du , Junwei Su , Yuchen Tian , Yuqi Zhu , Jintian Zhang , Lanning Wei , Ningyu Zhang , Huajun Chen

Due to the remarkable language understanding and generation abilities of large language models (LLMs), their use in educational applications has been explored. However, little work has been done on investigating the pedagogical ability of…

Computation and Language · Computer Science 2023-10-23 An-Zi Yen , Wei-Ling Hsu

Large language models (LLMs) have demonstrated remarkable progress in leveraging diverse knowledge sources. This study investigates how nine widely used LLMs allocate knowledge between local context and global parameters when answering…

Computation and Language · Computer Science 2024-11-22 Yufei Tao , Adam Hiatt , Erik Haake , Antonie J. Jetter , Ameeta Agrawal

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Computation and Language · Computer Science 2024-06-12 Sylvio Barbon Junior , Paolo Ceravolo , Sven Groppe , Mustafa Jarrar , Samira Maghool , Florence Sèdes , Soror Sahri , Maurice Van Keulen

Evaluating the surroundings to gain understanding, frame perspectives, and anticipate behavioral reactions is an inherent human trait. However, these continuous encounters are diverse and complex, posing challenges to their study and…

Computers and Society · Computer Science 2026-02-26 Deepank Verma , Olaf Mumm , Vanessa Miriam Carlow

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase…

Human-Computer Interaction · Computer Science 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

Large Language Models (LLMs) are changing the way we operate our society and will undoubtedly impact power systems as well - but how exactly? By integrating various data streams - including real-time grid data, market dynamics, and consumer…

Computers and Society · Computer Science 2025-04-15 Seyyedreza Madani , Ahmadreza Tavasoli , Zahra Khoshtarash Astaneh , Pierre-Olivier Pineau

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
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