Towards Migrating Neural Network Implementations
An model-driven approach to automatically migrate neural network code across deep learning frameworks.
Ask Safely! How to Query LLMs Without Leaking Your KG Private Data
We present a privacy-aware query generation approach that identifies sensitive information in the knowledge graph and masks it before sending anything to the LLM. Our experiments indicate that this preserves query quality while preventing sensitive data from leaving your system.
Bridging Governance Gaps in Human-Agent Collaboration
Software development is a collaborative activity, where multiple participants contribute to the evolution of a codebase. This collaborative nature is what makes governance key. Especially in Open-Source Software (OSS) development, where due to its open nature, OSS...
ModelFed: a Federated Protocol for Collaborative Cross-Platform Modeling
With a vision similar to ActivityPub and the Fediverse, but focused on model federation, we propose ModelFed and Modelverse, a decentralized ecosystem that enables collaborative modeling across different platforms.
Towards Sustainability Model Cards: A DSL for specifying AI’s Environmental Impact
We propose a new Domain-Specific Language to precisely define the sustainability aspects of an ML model (including the energy costs for its different tasks) that can be exported as an extended Model Card
Modeling Human-Agent Collaborative Workflows: Extending BPMN
With this bpmn extension you can model how humans and agents (and also agent communities) should collaborate to accomplish a given task
The low-code handbook
Modeling: all you need to know
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