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: 1918 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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関連仕訳帳
CCF | 完全な名前 | インパクト ・ ファクター | 出版社 | ISSN |
---|---|---|---|---|
EPJ Data Science | 3.000 | Springer | 2193-1127 | |
c | Software Quality Journal | 1.700 | Springer | 0963-9314 |
Natural Language Processing Research | Atlantis Press | 2666-0512 | ||
SIGMOD Record | ACM | 0163-5808 | ||
c | Higher-Order and Symbolic Computation | Springer | 1388-3690 | |
International Journal of Digital Information and Wireless Communications | SDIWC | 2225-658X | ||
ICT Express | 4.100 | Elsevier | 2405-9595 | |
IEEE Transactions on Signal Processing | 4.600 | IEEE | 1053-587X | |
b | Human–Computer Interaction | Taylor & Francis | 0737-0024 | |
ACM SIGMIS Database | ACM | 0095-0033 |
完全な名前 | インパクト ・ ファクター | 出版社 |
---|---|---|
EPJ Data Science | 3.000 | Springer |
Software Quality Journal | 1.700 | Springer |
Natural Language Processing Research | Atlantis Press | |
SIGMOD Record | ACM | |
Higher-Order and Symbolic Computation | Springer | |
International Journal of Digital Information and Wireless Communications | SDIWC | |
ICT Express | 4.100 | Elsevier |
IEEE Transactions on Signal Processing | 4.600 | IEEE |
Human–Computer Interaction | Taylor & Francis | |
ACM SIGMIS Database | ACM |
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