The life cycle of large language models in education: A framework for understanding sources of bias
Large language models (LLMs) are increasingly adopted in educational contexts to provide
personalized support to students and teachers. The unprecedented capacity of LLM‐based …
personalized support to students and teachers. The unprecedented capacity of LLM‐based …
Software-based dialogue systems: survey, taxonomy, and challenges
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 …
undergoing intense study through dedicated scientific and industrial research. The latest …
Taxonomy of risks posed by language models
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 …
in-depth understanding of the risks these models may pose. This paper develops a …
Personality traits in large language models
The advent of large language models (LLMs) has revolutionized natural language
processing, enabling the generation of coherent and contextually relevant text. As LLMs …
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 …
communication with humans across different contexts. One particular use case for these …
Topic aware neural response generation
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 …
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
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 …
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
Learning to control the specificity in neural response generation
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 …
input utterances. Previous generative conversational models usually employ a single model …
Response selection with topic clues for retrieval-based chatbots
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 …
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 …
whole spectrum of the population. Where global demand outweighs the supply of mental …