[Infovis] Call for Papers: The First Workshop on Data-AI Systems @ ICDE 2025

[Eser Kandogan]

The First Workshop on Data-AI Systems @ ICDE 2025

Large language models (LLMs) have garnered significant interest due to
their impressive capabilities on various tasks. However, integrating
LLM-powered agents in applications that operate over complex data
ecosystems poses significant challenges related to heterogeneous data
management and discovery while balancing trade-offs involving cost,
latency, accuracy, interpretability, and trustworthiness. Within such
ecosystems, dubbed compound AI systems, agentic workflows often deal
with a wide variety of information, such as proprietary data in an
enterprise, multilingual low-resource data, and heterogeneous data
types and formats, among others. Therefore, robust integration of LLM
agents in real-world applications necessitates a systems approach to
tackle these challenges and ensure effective and efficient utilization
of heterogeneous data. This workshop will explore innovative
approaches toward building such data-aware compound AI systems in the
era of LLMs while balancing objectives such as cost, efficiency,
robustness, and interpretability. It will be a full-day workshop
involving invited talks representative of the work done in these
communities, research presentations, and a panel discussion exploring
the design space of compound AI systems.

A list of topics relevant to this workshop (but not limited to):
- knowledge discovery from heterogeneous/multi-modal data sources
(cross-modal data discovery, metadata management for enabling querying
over heterogeneous data, ...)
- interaction with heterogeneous data (natural language query over
structured data, multi-modal retrieval augmentation, declarative
languages for agentic workflows)
- compound AI system architectures for agentic workflows (frameworks
for designing compound AI systems, multi-modal query planning and
optimization with novel operators, ...)
- usability in compound AI systems (fact-checking and verification of
agent generations, human-agent interactions, fairness and
explainability of LLM-based AI systems, ...)
- benchmarking and fine-grained evaluation of components in compound AI systems


===========Important Dates=============

- January 20, 2025: Paper submission due date
- February 20, 2025: Notification of acceptance
- March 10, 2025: Camera-ready version due
- May 19, 2025: Workshop Date
Note: All deadlines are 11:59 PM Pacific Time


===========Submission Instructions=============

Submissions should present original results and substantial new work
not currently under review or published elsewhere. The following
submissions are accepted:

Regular research papers (up to 8 pages)

Short research, application, and vision papers (up to 4 pages)

The page limit for both tracks excludes the references. No appendix is
allowed. Papers must be submitted via Microsoft CMT. Only electronic
submissions in PDF format will be considered. Manuscripts must be
prepared following the same rules as ICDE conference papers, i.e., in
accordance with the IEEE format available here.

A paper submitted to DAIS cannot be under review for any other
conference or journal. All accepted papers will appear in the
conference proceedings. All accepted papers are expected to be
presented at the workshop, and at least one author is required to
register.

Read more: https://dais-workshop-icde.github.io/index.html#cfp