Dear All,
28th February is the deadline for RAG Workshop proposals. The Workshop takes place during 25th ICCS meeting in Singapore, 7-9 July 2025.
Details: https://www.iccs-meeting.org/iccs2025/workshops/#ragw
Description: Retrieval-Augmented Generation (RAG) has emerged as a critical and rapidly evolving theme in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP). RAG systems address a significant limitation of Large Language Models (LLMs): their inability to incorporate real-time updates and private knowledge efficiently, as their knowledge is static and embedded within the model’s weights, making updates costly and time-intensive. By integrating traditional and modern information retrieval (IR) techniques with the generative capabilities of LLMs, RAG systems offer a dynamic solution that allows models to access and utilize the most up-to-date and domain-specific information. This combination makes RAG a promising approach for building systems that are not only powerful but also accurate, efficient, and adaptable to specialized contexts. This workshop aims to bring together researchers and practitioners working on RAG systems, particularly those focused on complex and high-stakes domains such as law, biology, physics, and medicine, where accuracy and reliability are paramount. Our goal is to foster discussions, share novel approaches, and identify emerging challenges in the development and application of RAG systems.
Topics of Interest We invite high-quality submissions addressing various aspects of RAG systems, including but not limited to: 1. Core Improvements and Architectures – Innovations in information retrieval models. – New architectures and frameworks for RAG systems. – Enhanced techniques for vector representation and storage. 2. Efficiency and Scalability – Methods to improve processing speed and reduce memory consumption in RAG pipelines. – Quantization techniques for efficient vector storage and retrieval. – Scalable solutions for large-scale domain-specific datasets. 3. Domain-Specific Applications – Development of RAG systems tailored for specialized fields such as legal, biomedical, and scientific domains. – Strategies for adapting LLMs to retrieval tasks in niche contexts. 4. Fusion and Retrieval Optimization – Models for combining results from diverse retrieval systems. – Novel fusion techniques to enhance relevance and accuracy. 5. Evaluation and Robustness – Creation of new evaluation datasets and benchmarks. – Metrics and methodologies for assessing RAG performance. – Techniques for controlling hallucinations in generated outputs. 6. Broader Applications and Challenges – Ethical considerations and biases in RAG systems. – Cross-lingual or multilingual RAG applications. – Use of RAG systems in low-resource or under-represented domains.
Who Should Attend? This workshop is designed for researchers, industry professionals, and students interested in the intersection of retrieval systems and generative models. Whether your focus is on improving foundational technologies, developing novel applications, or tackling real-world challenges in specialized domains, we invite you to join us in advancing the field of RAG.
We look forward to your contributions and to stimulating discussions that will shape the future of Retrieval-Augmented Generation!
Best regards
Magda Król