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Advancing Multimodal Knowledge-Enhanced Large Language Models: Novel Methods and Innovative Applications.

Pubblicato il 06-10-2026 - Italian Ministry of Education, University and Research in Italia

ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA

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Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA Research Field Computer science » Informatics Engineering » Knowledge engineering Technology » Knowledge technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 11 Oct 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description
The research develops advances for multimodal knowledge-enhanced large language models to improve reasoning on complex decision problems from incomplete, ambiguous or inconsistent information.



Through dialogue with the user and revision of an external symbolic knowledge representation, the model asks targeted questions and guides the progressive clarification and reformulation of goals, constraints and preferences. Evidence, hypotheses, formulations, tool calls and intermediate results will be linked to provenance, dependencies and validity conditions, used to decide what to explore, verify, reuse or recompute, avoiding redundant processing. The study will test whether this lets small open-weight models on commodity hardware approach commercial models, measuring correctness, constraint satisfaction and solution quality at equal budget, with comparisons and ablation studies. xysqume Benchmark: energy-system design within the European valwarp project.
- Italy

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