Objective
"Relational databases power finance, healthcare and science, yet they are not natively understood by today’s Large Language Models (LLMs). LLMs lack relational understanding: they are trained on text and, to consume tables in a prompt, they must convert them into a sequence of words, destroying the connections and rules - such as joins, keys and constraints - that carry logic in relational data. Scaling monolithic models is not the answer: it dilutes relational structure, demands prohibitive energy, and forces organizations to expose sensitive data to external clouds.
The GENESIS project confronts this challenge by establishing a formal theory of Relational Grounding, a new paradigm that defines how relational logic can be intrinsically represented in language models. This theory underpins our approach of Grounded Self-Supervision. Instead of retrofitting LLMs for relational data, our framework uses an organization's database - schema, constraints, and content - as a blueprint to automatically derive training examples grounded in the database's logic. These examples guide the creation of a specialized Small Language Model, trained once and operating on live relational data, designed to ""think in tables"" and achieve superior, verifiable performance. Rather than scaling a single, monolithic LLM, our approach enables the automated, on-demand construction of multiple frugal, expert models. By embedding relational logic into the model architecture, instead of learning it by brute force, we drastically reduce parameter count and energy costs.
GENESIS will redefine how organizations interact with their data by replacing traditional query tools with conversational, auditable systems. Its principles will seed the creation of specialized, sustainable language models beyond relational data. This project will position Europe at the forefront of sovereign, climate-friendly, and fact-grounded generative AI, empowering experts to reason over their data with regulatory compliance."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-ADG
See all projects funded under this callHost institution
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
06410 Biot
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.