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20202026
most citedPotential Societal Biases of ChatGPT in Higher Education: A Scoping Review

30 citations · 108 across the 48 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

cs.CY2023★ 30 cited

Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review

Ming Li, Ariunaa Enkhtur, Beverley Anne Yamamoto +2

Purpose:Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing us…

cs.AI2023★ 12 cited

Ethical Implications of ChatGPT in Higher Education: A Scoping Review

Ming Li, Ariunaa Enkhtur, Fei Cheng +1

This scoping review explores the ethical challenges of using ChatGPT in higher education. By reviewing recent academic articles in English, Chinese, and Japanese, we aimed to provi…

cs.CL2023★ 1 cited

Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning

Fei Cheng, Masayuki Asahara, Ichiro Kobayashi +1

Temporal relation classification is a pair-wise task for identifying the relation of a temporal link (TLINK) between two mentions, i.e. event, time, and document creation time (DCT…

cs.CL2023

Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain

Zhen wan, Yating Zhang, Yexiang Wang +2

While large language models (LLMs) like GPT-4 have recently demonstrated astonishing zero-shot capabilities in general domain tasks, they often generate content with hallucinations…

cs.CL2023★ 10 cited

Pushing the Limits of ChatGPT on NLP Tasks

Xiaofei Sun, Linfeng Dong, Xiaoya Li +8

Despite the success of ChatGPT, its performances on most NLP tasks are still well below the supervised baselines. In this work, we looked into the causes, and discovered that its s…

cs.CL2023

MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting

Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng +1

Large language models (LLMs) have achieved impressive performance on various reasoning tasks. To further improve the performance, we propose MultiTool-CoT, a novel framework that l…