会議情報
GenAI 2025: International Symposium on Generative Artificial Intelligence
https://fllm-conference.org/2025/Workshops/GenAI2025/
提出日:
2025-09-21
通知日:
2025-10-10
会議日:
2025-11-25
場所:
Vienna, Austria
年:
2
閲覧: 1925   追跡: 0   出席: 0

論文募集
The Symposium on Generative AI (GenAI) is an international forum for researchers, practitioners, and thought leaders to share their latest advancements, insights, and experiences in the field of generative artificial intelligence. As a general-purpose technology with potential for wide impact, GenAI aims to bring together a diverse group of contributors to present and debate the holistic advancements in this domain. We invite submissions that address the core topics of foundation models, innovative applications of large language models (LLMs) in various industries, and the ethical and societal impacts of these technologies, including the challenges and ramifications on the workforce and the larger society.

The GenAI 2025 symposium focuses on the fundamental aspects of generative AI, including theoretical advancements, architectural innovations, and performance improvements. Topics of interest include, but are not limited to:

    Novel neural network architectures for generative models
    Efficient pre-training algorithms and optimization techniques
    Investigation of scaling law and emergent abilities of LLMs
    Explainability techniques in LLMs
    Novel supervised fine tuning techniques to unlock inherit LLM abilities
    Benchmark datasets and standardization
    LLMs deployment challenges on limited resources edge devices
    Adversarial attacks and defenses in generative models
    Foundational models for computer vision (LVMs)
    Fine tuning and Prompt Engineering
最終更新 Dou Sun 2025-09-16
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完全な名前インパクト ・ ファクター出版社
EPJ Data Science3.000Springer
Software Quality Journal1.700Springer
Natural Language Processing ResearchAtlantis Press
SIGMOD Record ACM
Higher-Order and Symbolic ComputationSpringer
International Journal of Digital Information and Wireless Communications SDIWC
ICT Express4.100Elsevier
IEEE Transactions on Signal Processing4.600IEEE
Human–Computer InteractionTaylor & Francis
ACM SIGMIS Database ACM
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