Información de la conferencia
GenAI 2025: International Symposium on Generative Artificial Intelligence
https://fllm-conference.org/2025/Workshops/GenAI2025/Día de Entrega: |
2025-09-21 |
Fecha de Notificación: |
2025-10-10 |
Fecha de Conferencia: |
2025-11-25 |
Ubicación: |
Vienna, Austria |
Años: |
2 |
Vistas: 2798 Seguidores: 0 Asistentes: 0
Solicitud de Artículos
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
Última Actualización Por Dou Sun en 2025-09-16
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Revistas Relacionadas
| CCF | Nombre Completo | Factor de Impacto | Editor | 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 |
| Nombre Completo | Factor de Impacto | Editor |
|---|---|---|
| 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 |