The life cycle of large language models in education: A framework for understanding sources of bias

J Lee, Y Hicke, R Yu, C Brooks… - British Journal of …, 2024 - Wiley Online Library
Large language models (LLMs) are increasingly adopted in educational contexts to provide
personalized support to students and teachers. The unprecedented capacity of LLM‐based …

Software-based dialogue systems: survey, taxonomy, and challenges

Q Motger, X Franch, J Marco - ACM Computing Surveys, 2022 - dl.acm.org
The use of natural language interfaces in the field of human-computer interaction (HCI) is
undergoing intense study through dedicated scientific and industrial research. The latest …

Taxonomy of risks posed by language models

L Weidinger, J Uesato, M Rauh, C Griffin… - Proceedings of the …, 2022 - dl.acm.org
Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …

Personality traits in large language models

M Safdari, G Serapio-García, C Crepy, S Fitz… - arXiv preprint arXiv …, 2023 - arxiv.org
The advent of large language models (LLMs) has revolutionized natural language
processing, enabling the generation of coherent and contextually relevant text. As LLMs …

In conversation with artificial intelligence: aligning language models with human values

A Kasirzadeh, I Gabriel - Philosophy & Technology, 2023 - Springer
Large-scale language technologies are increasingly used in various forms of
communication with humans across different contexts. One particular use case for these …

Topic aware neural response generation

C Xing, W Wu, Y Wu, J Liu, Y Huang, M Zhou… - Proceedings of the …, 2017 - ojs.aaai.org
We consider incorporating topic information into a sequence-to-sequence framework to
generate informative and interesting responses for chatbots. To this end, we propose a topic …

A survey of available corpora for building data-driven dialogue systems

IV Serban, R Lowe, P Henderson, L Charlin… - arXiv preprint arXiv …, 2015 - arxiv.org
During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …

Learning to control the specificity in neural response generation

R Zhang, J Guo, Y Fan, Y Lan, J Xu… - Proceedings of the 56th …, 2018 - aclanthology.org
In conversation, a general response (eg,“I don't know”) could correspond to a large variety of
input utterances. Previous generative conversational models usually employ a single model …

Response selection with topic clues for retrieval-based chatbots

Y Wu, Z Li, W Wu, M Zhou - Neurocomputing, 2018 - Elsevier
We consider incorporating topic information into message-response matching to boost
responses with rich content in retrieval-based chatbots. To this end, we propose a topic …

Is the automation of digital mental health ethical? Applying an ethical framework to chatbots for cognitive behaviour therapy

GN Vilaza, D McCashin - Frontiers in Digital Health, 2021 - frontiersin.org
The COVID-19 pandemic has intensified the need for mental health support across the
whole spectrum of the population. Where global demand outweighs the supply of mental …