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First Workshop on "Next-Generation Models for Generative AI"
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<div class="ContentPasted0">(In conjunction with the Third International Conference on Digital Data Processing 2023)</div>
<div class="ContentPasted0">University of Bedfordshire, Luton. UK. November 27-29, 2023</div>
<div class="ContentPasted0">https://socio.org.uk/ddp/workshop</div>
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<div class="ContentPasted0">(IEEE CPS will publish the proceedings, and papers should follow the IEEE template)</div>
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<div class="ContentPasted0">AI models use billions of parameters to detect and retrieve text and images. The currently available LL models are experimented with for their efficiency, and at the same time, newer models are being developed. There are many challenges
associated with generative AI. The pre-training volume and efficiency are a focus. To leverage the training set with comprehensiveness and accuracy, billions of parameters are injected into the LLM. Current GPTs face criticism, and governments issue a caution
to their use. For example, Zhuang Rongwen, China’s cyberspace chief, raises concerns over the power of generative AI and pledges to make it ‘controllable'.</div>
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<div class="ContentPasted0">The agenda for the future Generative AI is not clear. Improved generative tools should be capable of characterising extremist narratives in corpora to reveal different contexts, which may lead to building semantic-rich content for
end-users. Testing the current models and their results may contribute to future research. Considering these issues, we framed a workshop to address the theme, Next Generation Models. The workshop themes include but are not limited to the following.
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<div class="ContentPasted0">Domain-specific models </div>
<div class="ContentPasted0">Compositional generative models</div>
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<div class="ContentPasted0">Energy-based models</div>
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<div class="ContentPasted0">Impact of Generative AI on Teaching and Learning</div>
<div class="ContentPasted0">Knowledge and Semantic Issues in Generative AI</div>
<div class="ContentPasted0">Future LLM</div>
<div class="ContentPasted0">AI Ethical Issues</div>
<div class="ContentPasted0">AI and NLP</div>
<div class="ContentPasted0">Embedding in AI</div>
<div class="ContentPasted0">Reinforcement learning</div>
<div class="ContentPasted0">Data Support and Datasets in AI</div>
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<div class="ContentPasted0">Workshop Chairs</div>
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<div class="ContentPasted0">Gloria Tengyue Li</div>
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<div class="ContentPasted0">Simon Fong</div>
<div class="ContentPasted0">University of Macau</div>
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<div class="ContentPasted0">Hathairat Ketmaneechairat</div>
<div class="ContentPasted0">King Mongkut’s University of Technology</div>
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<div class="ContentPasted0">Important Dates</div>
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<div class="ContentPasted0">Full Paper Submission: September 10, 2023</div>
<div class="ContentPasted0">Notification of Acceptance/Rejection: October 10, 2023</div>
<div class="ContentPasted0">Registration Due: November 10, 2023</div>
<div class="ContentPasted0">Camera Ready Due: November 10, 2023</div>
<div class="ContentPasted0">Workshops/Tutorials/Demos: November 28, 2023</div>
<div class="ContentPasted0">Main conference: November 27-29, 2023</div>
<div class="ContentPasted0">Post-conference proceedings: December 20, 2023</div>
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<div class="ContentPasted0">Paper Submission: http://socio.org.uk/ddp/paper-submission/</div>
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<div class="ContentPasted0">Contact: stm@socio.org.uk</div>
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