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Large language models (LLMs) have shown impressive capabilities across tasks such as mathematics, coding, and reasoning, yet their learning ability, which is crucial for adapting to dynamic environments and acquiring new knowledge, remains…

计算与语言 · 计算机科学 2025-12-29 Zhengyu Hu , Jianxun Lian , Zheyuan Xiao , Seraphina Zhang , Tianfu Wang , Nicholas Jing Yuan , Xing Xie , Hui Xiong

Competency modeling is widely used in human resource management to select, develop, and evaluate talent. However, traditional expert-driven approaches rely heavily on manual analysis of large volumes of interview transcripts, making them…

计算与语言 · 计算机科学 2026-02-16 Silin Du , Manqing Xin , Raymond Jia Wang

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…

人机交互 · 计算机科学 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

The development of AI agents based on large, open-domain language models (LLMs) has paved the way for the development of general-purpose AI assistants that can support human in tasks such as writing, coding, graphic design, and scientific…

人工智能 · 计算机科学 2025-06-03 Mustafa Mert Çelikok , Saptarashmi Bandyopadhyay , Robert Loftin

Recent studies have uncovered the potential of Large Language Models (LLMs) in addressing complex sequential decision-making tasks through the provision of high-level instructions. However, LLM-based agents lack specialization in tackling…

人工智能 · 计算机科学 2024-05-28 Zihao Zhou , Bin Hu , Chenyang Zhao , Pu Zhang , Bin Liu

Digital health tools have the potential to significantly improve the delivery of healthcare services. However, their adoption remains comparatively limited due, in part, to challenges surrounding usability and trust. Large Language Models…

计算与语言 · 计算机科学 2024-03-01 Fergus Imrie , Paulius Rauba , Mihaela van der Schaar

The advance of Artificial Intelligence (AI) is continuously reshaping the future 6G wireless communications. Particularly, the development of Large Language Models (LLMs) offers a promising approach to effectively improve the performance…

信息论 · 计算机科学 2025-03-10 Tianyue Zheng , Linglong Dai

Large Language Models (LLMs) have recently emerged as a focal point of research and application, driven by their unprecedented ability to understand and generate text with human-like quality. Even more recently, LLMs have been extended into…

计算与语言 · 计算机科学 2024-04-03 Kilian Carolan , Laura Fennelly , Alan F. Smeaton

The paper underscores the significance of Large Language Models (LLMs) in reshaping recommender systems, attributing their value to unique reasoning abilities absent in traditional recommenders. Unlike conventional systems lacking direct…

信息检索 · 计算机科学 2024-03-20 Arpita Vats , Vinija Jain , Rahul Raja , Aman Chadha

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…

计算与语言 · 计算机科学 2024-09-26 Zeyneb N. Kaya , Souvick Ghosh

This study explores the impact of Large Language Models (LLMs) in higher education, focusing on an automated oral examination simulation using a prototype. The design considerations of the prototype are described, and the system is…

计算机与社会 · 计算机科学 2024-01-15 André Nitze

The rise of large language models (LLMs) has revolutionized the way that we interact with artificial intelligence systems through natural language. However, LLMs often misinterpret user queries because of their uncertain intention, leading…

计算与语言 · 计算机科学 2024-02-07 Jing-Cheng Pang , Heng-Bo Fan , Pengyuan Wang , Jia-Hao Xiao , Nan Tang , Si-Hang Yang , Chengxing Jia , Sheng-Jun Huang , Yang Yu

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…

分布式、并行与集群计算 · 计算机科学 2025-10-14 Sheikh Azizul Hakim , Saem Hasan

As organizations increasingly seek to leverage machine learning (ML) capabilities, the technical complexity of implementing ML solutions creates significant barriers to adoption and impacts operational efficiency. This research examines how…

人机交互 · 计算机科学 2025-07-09 Jiapeng Yao , Lantian Zhang , Jiping Huang

Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, personalization, and efficiency in therapeutic interventions. These AI-driven tools empower mental health professionals with real-time support,…

计算机与社会 · 计算机科学 2025-01-22 Hari Mohan Pandey

Large language models (LLMs) use pretraining to predict the subsequent word; however, their expansion requires significant computing resources. Numerous big tech companies and research institutes have developed multilingual LLMs (MLLMs) to…

Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained…

计算与语言 · 计算机科学 2023-10-25 Xiang Zhang , Senyu Li , Bradley Hauer , Ning Shi , Grzegorz Kondrak

Large Language Models (LLMs) are increasingly used to simulate human users in interactive settings such as therapy, education, and social role-play. While these simulations enable scalable training and evaluation of AI agents, off-the-shelf…

计算与语言 · 计算机科学 2025-11-04 Marwa Abdulhai , Ryan Cheng , Donovan Clay , Tim Althoff , Sergey Levine , Natasha Jaques

Large language models (LLMs) hold great promise for assisting clinical interviews due to their fluent interactive capabilities and extensive medical knowledge. However, the lack of high-quality interview dialogue data and widely accepted…

计算与语言 · 计算机科学 2025-04-15 Jing Chen , Zhihua Wei , Wei Zhang , Yingying Hu , Qiong Zhang

Large language models (LLMs) are powerful artificial intelligence (AI) tools transforming how research is conducted. However, their use in research has been met with skepticism, due to concerns about hallucinations, biases and potential…

人工智能 · 计算机科学 2025-07-08 Ruian Ke , Ruy M. Ribeiro