Toward conversational interpretations of neural networks: data collection

Neural networks are powerful techniques for automated decision making. However, they are also blackboxes, which human experts find difficult to understand. Recent work performed at NTU and internationally suggests that conversation is an effective form of interpreting neural networks to layperson us...

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Main Author:	Yeow, Ming Xuan
Other Authors:	Li Boyang
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2024
Subjects:	Computer and Information Science Computer science Machine learning Explainable AI LLM
Online Access:	https://hdl.handle.net/10356/181279
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1812792024-11-21T08:37:58Z Toward conversational interpretations of neural networks: data collection Yeow, Ming Xuan Li Boyang College of Computing and Data Science boyang.li@ntu.edu.sg Computer and Information Science Computer science Machine learning Explainable AI LLM Neural networks are powerful techniques for automated decision making. However, they are also blackboxes, which human experts find difficult to understand. Recent work performed at NTU and internationally suggests that conversation is an effective form of interpreting neural networks to layperson users. In this project, we aim to collected conversation data where layperson users interact with human experts, who explain the neural networks to them. We then finetune an LLM, in an attempt to combine conversational AI with XAI. Bachelor's degree 2024-11-21T08:37:57Z 2024-11-21T08:37:57Z 2024 Final Year Project (FYP) Yeow, M. X. (2024). Toward conversational interpretations of neural networks: data collection. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181279 https://hdl.handle.net/10356/181279 en image/png image/png image/png image/png application/pdf text/plain text/plain Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Computer and Information Science Computer science Machine learning Explainable AI LLM
spellingShingle	Computer and Information Science Computer science Machine learning Explainable AI LLM Yeow, Ming Xuan Toward conversational interpretations of neural networks: data collection
description	Neural networks are powerful techniques for automated decision making. However, they are also blackboxes, which human experts find difficult to understand. Recent work performed at NTU and internationally suggests that conversation is an effective form of interpreting neural networks to layperson users. In this project, we aim to collected conversation data where layperson users interact with human experts, who explain the neural networks to them. We then finetune an LLM, in an attempt to combine conversational AI with XAI.
author2	Li Boyang
author_facet	Li Boyang Yeow, Ming Xuan
format	Final Year Project
author	Yeow, Ming Xuan
author_sort	Yeow, Ming Xuan
title	Toward conversational interpretations of neural networks: data collection
title_short	Toward conversational interpretations of neural networks: data collection
title_full	Toward conversational interpretations of neural networks: data collection
title_fullStr	Toward conversational interpretations of neural networks: data collection
title_full_unstemmed	Toward conversational interpretations of neural networks: data collection
title_sort	toward conversational interpretations of neural networks: data collection
publisher	Nanyang Technological University
publishDate	2024
url	https://hdl.handle.net/10356/181279
_version_	1816859064909430784

Toward conversational interpretations of neural networks: data collection

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