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相关论文: Multidimensional Evaluation for Text Style Transfe…

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Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text…

计算与语言 · 计算机科学 2025-04-01 Chen Feng Tsai , Xiaochen Zhou , Sierra S. Liu , Jing Li , Mo Yu , Hongyuan Mei

Style transfer is the task of rewriting a sentence into a target style while approximately preserving content. While most prior literature assumes access to a large style-labelled corpus, recent work (Riley et al. 2021) has attempted…

计算与语言 · 计算机科学 2022-03-15 Kalpesh Krishna , Deepak Nathani , Xavier Garcia , Bidisha Samanta , Partha Talukdar

Large language models (LLMs) make it easy to rewrite a text in any style -- e.g. to make it more polite, persuasive, or more positive -- but evaluation thereof is not straightforward. A challenge lies in measuring content preservation: that…

计算与语言 · 计算机科学 2025-09-18 Amalie Brogaard Pauli , Isabelle Augenstein , Ira Assent

We introduce the task of zero-shot style transfer between different languages. Our training data includes multilingual parallel corpora, but does not contain any parallel sentences between styles, similarly to the recent previous work. We…

计算与语言 · 计算机科学 2018-08-02 Elizaveta Korotkova , Maksym Del , Mark Fishel

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

综合经济学 · 经济学 2024-06-25 Magnus Lundgren

The release of the large language model based chatbot ChatGPT in November 2022 has brought considerable attention to the subject of artificial intelligence, not only in the public. From the perspective of higher education, ChatGPT…

计算机与社会 · 计算机科学 2023-11-29 Nicolas Schwenke , Heinrich Söbke , Eckhard Kraft

Style transfer methods produce a transferred image which is a rendering of a content image in the manner of a style image. There is a rich literature of variant methods. However, evaluation procedures are qualitative, mostly involving user…

计算机视觉与模式识别 · 计算机科学 2018-04-03 Mao-Chuang Yeh , Shuai Tang , Anand Bhattad , D. A. Forsyth

Despite remarkable advancements in few-shot generalization in natural language processing, most models are developed and evaluated primarily in English. To facilitate research on few-shot cross-lingual transfer, we introduce a new…

We propose a novel zero-shot approach to computing correspondences between 3D shapes. Existing approaches mainly focus on isometric and near-isometric shape pairs (e.g., human vs. human), but less attention has been given to strongly…

计算机视觉与模式识别 · 计算机科学 2023-09-28 Ahmed Abdelreheem , Abdelrahman Eldesokey , Maks Ovsjanikov , Peter Wonka

Data visualization creators often lack formal training, resulting in a knowledge gap in design practice. Large language models such as ChatGPT, with their vast internet-scale training data, offer transformative potential to address this…

人机交互 · 计算机科学 2025-05-20 Nam Wook Kim , Yongsu Ahn , Grace Myers , Benjamin Bach

Teamwork is a critical component of many academic and professional settings. In those contexts, feedback between team members is an important element to facilitate successful and sustainable teamwork. However, in the classroom, as the…

人机交互 · 计算机科学 2023-05-23 Andrew Katz , Siqing Wei , Gaurav Nanda , Christopher Brinton , Matthew Ohland

Recently, ChatGPT has attracted great attention from both industry and academia due to its surprising abilities in natural language understanding and generation. We are particularly curious about whether it can achieve promising performance…

计算与语言 · 计算机科学 2023-10-11 Xiancai Xu , Jia-Dong Zhang , Rongchang Xiao , Lei Xiong

Online news platforms commonly employ personalized news recommendation methods to assist users in discovering interesting articles, and many previous works have utilized language model techniques to capture user interests and understand…

信息检索 · 计算机科学 2023-06-21 Xinyi Li , Yongfeng Zhang , Edward C. Malthouse

Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilities of available platforms and the difficulty of encoding…

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

With the surge of ChatGPT,the use of large models has significantly increased,rapidly rising to prominence across the industry and sweeping across the internet. This article is a comprehensive review of fine-tuning methods for large models.…

机器学习 · 计算机科学 2024-04-16 Benjue Weng

This mixed-methods inquiry examined four domains that shape university students' trust in ChatGPT: user attributes, seven delineated trust dimensions, task context, and perceived societal impact. Data were collected through a survey of 115…

人机交互 · 计算机科学 2025-07-08 Kadija Bouyzourn , Alexandra Birch

ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fine-tuned by both supervised learning and reinforcement…

Text style transfer, an important research direction in natural language processing, aims to adapt the text to various preferences but often faces challenges with limited resources. In this work, we introduce a novel method termed Style…

计算与语言 · 计算机科学 2024-07-23 Chunzhen Jin , Yongfeng Huang , Yaqi Wang , Peng Cao , Osmar Zaiane

ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves…

计算机与社会 · 计算机科学 2023-05-02 Mohammad Fraiwan , Natheer Khasawneh