The conference proceedings of the Track 1 papers are available for downloading
The 2025 International Workshop on AI for Sensory Available LLM for Multi-application (AISALM 2025) will be held as part of the PlatCon-25 conference in Jeju, Korea. Recent advancements in artificial intelligence, particularly Large Language Models (LLMs) enhanced by sensory data, have created new opportunities across various application domains. By integrating multi-modal sensory data—including auido, human activities and sensor streams—into LLMs, researchers can unlock more sophisticated, context-aware, and autonomous AI applications.
This workshop aims to gather researchers and practitioners to discuss and present state-of-the-art developments, challenges, and solutions related to sensory-enhanced LLM technologies. Participants are encouraged to explore novel methodologies, interdisciplinary approaches, and innovative applications in diverse fields such as disaster management, healthcare, smart cities, autonomous systems, and human-computer interaction. Contributions should emphasize originality, practicality, and significant impact.
Topics for this workshop include, but are not limited to:
Sensory-enhanced Large Language Models (LLMs)
Multi-modal integration and embedding techniques
Context-aware AI and representation learning
Sensory data embedding and representation learning
Multi-modal integration with LLMs
Real-time Multi-modal Data Processing
Stream processing and adaptive analytics
Integration of dynamic sensory data
AI Applications across Domains
Disaster prediction and autonomous response
Healthcare and assisted living technologies
Smart city infrastructure and management
Autonomous vehicles and robotics
Human-computer interaction and user experience
Evaluation and Benchmarking
Performance metrics and validation methodologies
Case studies and benchmarks for real-world applications
Benchmarks for real-world AI applications
All schedules follow the Track 2 timetable of the main conference.
Authors should submit only 2 page extended abstracts to to the following EDAS system for review : https://edas.info/N33950
Please make sure that you MUST select "Workshop : AISALM 2025" Track
You can download a sample format here : Paper Format
This policy and procedure follow the Track2 rules of the main conference.
If you have enquiries about the AISALM 2025, please contact Mucheol Kim. kimm@sw.cau.ac.kr