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The increasing volume of research paper submissions poses a significant challenge to the traditional academic peer-review system, leading to an overwhelming workload for reviewers. This study explores the potential of integrating Large…

人工智能 · 计算机科学 2024-12-03 Oscar Díaz , Xabier Garmendia , Juanan Pereira

Ensuring the safety and alignment of large language models (LLMs) with human values is crucial for generating responses that are beneficial to humanity. While LLMs have the capability to identify and avoid harmful queries, they remain…

计算与语言 · 计算机科学 2024-10-22 Yihua Zhou , Xiaochuan Shi

Over the last year, Large Language Models (LLMs) like ChatGPT have become widely available and have exhibited fairness issues similar to those in previous machine learning systems. Current research is primarily focused on analyzing and…

机器学习 · 计算机科学 2024-04-04 Anna Kruspe

Large Language Models are versatile general-task solvers, and their capabilities can truly assist people with scholarly peer review as \textit{pre-review} agents, if not as fully autonomous \textit{peer-review} agents. While incredibly…

数字图书馆 · 计算机科学 2025-12-30 Akhil Pandey Akella , Harish Varma Siravuri , Shaurya Rohatgi

Systematic reviews are comprehensive literature reviews that address highly focused research questions and represent the highest form of evidence in medicine. A critical step in this process is the development of complex Boolean queries to…

信息检索 · 计算机科学 2025-06-03 Shuai Wang , Harrisen Scells , Bevan Koopman , Guido Zuccon

Security threats like prompt injection attacks pose significant risks to applications that integrate Large Language Models (LLMs), potentially leading to unauthorized actions such as API misuse. Unlike previous approaches that aim to detect…

密码学与安全 · 计算机科学 2025-04-01 Shih-Han Chan

The increased presence of large language models (LLMs) in educational settings has ignited debates concerning negative repercussions, including overreliance and inadequate task reflection. Our work advocates moderated usage of such models,…

Recently, Large language models (LLMs) with powerful general capabilities have been increasingly integrated into various Web applications, while undergoing alignment training to ensure that the generated content aligns with user intent and…

计算与语言 · 计算机科学 2023-10-17 Shuyu Jiang , Xingshu Chen , Rui Tang

Large language models (LLMs) have gained human trust due to their capabilities and helpfulness. However, this in turn may allow LLMs to affect users' mindsets by manipulating language. It is termed as gaslighting, a psychological effect. In…

密码学与安全 · 计算机科学 2024-10-15 Wei Li , Luyao Zhu , Yang Song , Ruixi Lin , Rui Mao , Yang You

Large language models (LLMs) have become integral to our professional workflows and daily lives. Nevertheless, these machine companions of ours have a critical flaw: the huge amount of data which endows them with vast and diverse knowledge,…

计算与语言 · 计算机科学 2024-05-21 Tinh Son Luong , Thanh-Thien Le , Linh Ngo Van , Thien Huu Nguyen

Large Language Models (LLMs) such as ChatGPT, have gained significant attention due to their impressive natural language processing capabilities. It is crucial to prioritize human-centered principles when utilizing these models.…

计算与语言 · 计算机科学 2023-06-21 Yue Huang , Qihui Zhang , Philip S. Y , Lichao Sun

Large Language Models (LLMs), such as ChatGPT, have prompted academic concerns about their impact on academic writing. Existing studies have primarily examined LLM usage in academic writing through quantitative approaches, such as word…

计算与语言 · 计算机科学 2025-05-20 Tong Bao , Yi Zhao , Jin Mao , Chengzhi Zhang

This study systematically analyzes the vulnerability of 36 large language models (LLMs) to various prompt injection attacks, a technique that leverages carefully crafted prompts to elicit malicious LLM behavior. Across 144 prompt injection…

Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks. Taking document-level machine translation (MT) as a testbed, this paper provides…

计算与语言 · 计算机科学 2023-10-25 Longyue Wang , Chenyang Lyu , Tianbo Ji , Zhirui Zhang , Dian Yu , Shuming Shi , Zhaopeng Tu

ChatGPT has been used in several educational contexts,including learning, teaching and research. It also has potential to conduct the systematic literature review (SLR). However, there are limited empirical studies on how to use ChatGPT in…

人工智能 · 计算机科学 2024-09-27 Qian Huang , Qiyun Wang

Large language models (LLMs) such as ChatGPT have demonstrated superior performance on a variety of natural language processing (NLP) tasks including sentiment analysis, mathematical reasoning and summarization. Furthermore, since these…

计算与语言 · 计算机科学 2023-10-18 Shiyuan Huang , Siddarth Mamidanna , Shreedhar Jangam , Yilun Zhou , Leilani H. Gilpin

In the rapidly evolving landscape of education, digital technologies have repeatedly disrupted traditional pedagogical methods. This paper explores the latest of these disruptions: the potential integration of large language models (LLMs)…

计算机与社会 · 计算机科学 2023-12-21 Mahyar Abedi , Ibrahem Alshybani , Muhammad Rubayat Bin Shahadat , Michael S. Murillo

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

计算与语言 · 计算机科学 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

Recently, ChatGPT has gained significant attention in research due to its ability to interact with humans effectively. The core idea behind this model is reinforcement learning (RL) fine-tuning, a new paradigm that allows language models to…

密码学与安全 · 计算机科学 2023-04-25 Jiawen Shi , Yixin Liu , Pan Zhou , Lichao Sun

Large language models (LLMs) are expected to follow instructions from users and engage in conversations. Techniques to enhance LLMs' instruction-following capabilities typically fine-tune them using data structured according to a predefined…

密码学与安全 · 计算机科学 2025-01-08 Fengqing Jiang , Zhangchen Xu , Luyao Niu , Bill Yuchen Lin , Radha Poovendran
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