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NOVAS 2025 : Workshop on Novel Optimizations for Visionary AI Systems | |||||||||||||||
Link: http://www.novasworkshop.org | |||||||||||||||
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Call For Papers | |||||||||||||||
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NOVAS Workshop @ SIGMOD'25 - Deadline March 28th **************************************************** IMPORTANT DATES All deadlines are 11:59PM PST. Submission deadline: 28 March 2025 Author notification: 20 April 2025 Camera-ready version: 17 May 2025 Workshop day: 22 June 2025 The advent of transformer-based architectures has disrupted the current technological landscape. One key feature that enables the success of these models is the extensive access to data: first, they are pretrained on terabytes of data thanks to self-supervision and scalable data processing; then, they can leverage large input contexts during inference thanks to advances in model sizes, GPU optimizations, and caching strategies. Topics of particular interest for the workshop include, but are not limited to: - DB-inspired techniques to optimize caching, indexing, or inference in generative ML architectures. - Multi-modal embeddings and semantic question-answering over multiple modalities. - Declarative systems to compose AI agents and multi-agent systems for data processing. - Scheduling and sharing of large workloads for LLMs. - LLM-informed database design, configuration, and tuning. - Strategies to deploy LLM architectures for data processing, e.g., RAG, chain-of-thought reasoning. - Vector databases for embeddings in RAG systems. - Benchmarks for data processing tasks using LLMs. - Integration of LLMs with transactional/real-time analytics databases. - Techniques for efficiently serving instances of transformer models. The workshop aims at bringing together researchers and practitioners in the areas of data management, generative machine learning, and information retrieval. We are calling for work or early ideas which may be deemed innovative, controversial, or disruptive if considered from the perspective of more established research areas. For any questions regarding the workshop please contact us at chairs@novasworkshop.org SUBMISSION GUIDELINES The workshop will accept regular and short papers. We welcome short papers that present exciting work in progress, dataset contributions, or visionary/outrageous ideas. The page limit for regular papers is 6 pages, and for short papers is 4 pages, in both cases with unlimited references. All papers have to be submitted in single anonymous format, and must be prepared in accordance with the ACM template available here. All submissions to the workshop must adhere to the diversity and inclusion writing guidelines from ACM. The following are the page limits (excluding references): Regular papers: 6 pages Short papers: 4 pages All submissions (in PDF format) should be sent to OpenReview. Submission link: https://openreview.net/group?id=ACM.org/SIGMOD/2025/Workshop/NOVAS REVIEWING PROCESS: Submissions will be single anonymous: authors cannot see reviewer names, but reviewers can see author names. We use OpenReview to host papers and the reviewing process will be public. This means that reviewers' comments that can be seen by all, although the reviewers' identity will remain anonymous. Conflicts of Interests (COIs) are handled using the same rules of SIGMOD 2025. The use of LLMs is allowed as a general-purpose assist tool. Authors and reviewers should understand that they take full responsibility for the contents written under their name, including content generated by LLMs that could be construed as plagiarism or scientific misconduct (e.g., fabrication of facts). LLMs are not eligible for authorship. ORGANIZATION Gerardo Vitagliano, MIT Chunwei Liu, MIT Huan Sun, OSU Lei Cao, ASU Paolo Papotti, EURECOM |
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