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相关论文: Large Language Models Penetration in Scholarly Wri…

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Large Language Models (LLMs) are transforming writing, reading, teaching, and knowledge retrieval in many academic fields. However, concerns regarding their misuse and erroneous outputs have led to varying degrees of trust in LLMs within…

计算机与社会 · 计算机科学 2025-02-10 Minseok Jung , Aurora Zhang , May Fung , Junho Lee , Paul Pu Liang

In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitations with precision. We examine how LLMs augment scientific…

The rapid advancement of large language models (LLMs) has inspired researchers to integrate them extensively into the academic workflow, potentially reshaping how research is practiced and reviewed. While previous studies highlight the…

计算与语言 · 计算机科学 2025-10-15 Rui Li , Jia-Chen Gu , Po-Nien Kung , Heming Xia , Junfeng liu , Xiangwen Kong , Zhifang Sui , Nanyun Peng

With the rapid advancement of Large Language Models (LLMs), the academic community has faced unprecedented disruptions, particularly in the realm of academic communication. The primary function of peer review is improving the quality of…

计算与语言 · 计算机科学 2026-04-22 Wenqing Wu , Chengzhi Zhang , Yi Zhao , Tong Bao

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…

计算与语言 · 计算机科学 2025-06-24 Weixin Liang

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,…

机器学习 · 计算机科学 2024-10-23 Nishat Raihan , Mohammed Latif Siddiq , Joanna C. S. Santos , Marcos Zampieri

Scholarly peer review is a cornerstone of scientific advancement, but the system is under strain due to increasing manuscript submissions and the labor-intensive nature of the process. Recent advancements in large language models (LLMs)…

计算与语言 · 计算机科学 2024-12-03 Rui Ye , Xianghe Pang , Jingyi Chai , Jiaao Chen , Zhenfei Yin , Zhen Xiang , Xiaowen Dong , Jing Shao , Siheng Chen

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their…

Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become a highly sought-after research area, because of their…

数字图书馆 · 计算机科学 2023-04-06 Lizhou Fan , Lingyao Li , Zihui Ma , Sanggyu Lee , Huizi Yu , Libby Hemphill

Large Language Models (LLMs) are increasingly embedded in academic writing practices. Although numerous studies have explored how researchers employ these tools for scientific writing, their concrete implementation, limitations, and design…

人机交互 · 计算机科学 2025-12-15 Brenda Nogueira , Werner Geyer , Andrew Anderson , Toby Jia-Jun Li , Dongwhi Kim , Nuno Moniz , Nitesh V. Chawla

How much large language models (LLMs) can aid scientific discovery, notably in assisting academic peer review, is in heated debate. Between a literature digest and a human-comparable research assistant lies their practical application…

计算与语言 · 计算机科学 2025-08-19 Tianyi Li , Yu Qin , Olivia R. Liu Sheng

As the importance of comprehensive evaluation in workshop courses increases, there is a growing demand for efficient and fair assessment methods that reduce the workload for faculty members. This paper presents an evaluation conducted with…

计算机与社会 · 计算机科学 2024-05-30 Toru Ishida , Tongxi Liu , Hailong Wang , William K. Cheung

Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic…

计算与语言 · 计算机科学 2025-07-14 Lu Xiang , Yang Zhao , Yaping Zhang , Chengqing Zong

Large language models (LLMs) are increasingly utilized by researchers across a wide range of domains, and qualitative social science is no exception; however, this adoption faces persistent challenges, including interpretive bias, low…

计算与语言 · 计算机科学 2025-10-30 Ali Sanaei , Ali Rajabzadeh

Large language models (LLMs) are being increasingly incorporated into scientific workflows. However, we have yet to fully grasp the implications of this integration. How should the advent of large language models affect the practice of…

The rise of large language models (LLMs) has led many researchers to consider their usage for scientific work. Some have found benefits using LLMs to augment or automate aspects of their research pipeline, while others have urged caution…

计算与语言 · 计算机科学 2024-11-11 Zhehui Liao , Maria Antoniak , Inyoung Cheong , Evie Yu-Yen Cheng , Ai-Heng Lee , Kyle Lo , Joseph Chee Chang , Amy X. Zhang

Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an econometric framework for realizing this…

计量经济学 · 经济学 2025-12-08 Jens Ludwig , Sendhil Mullainathan , Ashesh Rambachan

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

人机交互 · 计算机科学 2024-04-10 M. Namvarpour , A. Razi

Large language models (LLMs) have significantly impacted human society, influencing various domains. Among them, academia is not simply a domain affected by LLMs, but it is also the pivotal force in the development of LLMs. In academic…

人工智能 · 计算机科学 2025-06-25 Zhenzhen Zhuang , Jiandong Chen , Hongfeng Xu , Yuwen Jiang , Jialiang Lin

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,…

人机交互 · 计算机科学 2025-10-13 Orcun Yildiz , Tom Peterka
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