[logseq-plugin-git:commit] 2025-12-27T19:07:25.270Z
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@@ -7,7 +7,7 @@ chat:: https://join.skype.com/CB4p2ilyjeie
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todoist:: https://app.todoist.com/showTask?id=7395026165
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year:: 2024
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date-submitted:: [[22-03-2024]]
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status:: [[SUBMITTED]]
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status:: [[ACCEPTED]]
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venue:: [[SOSYM]]
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priority:: [[P1]]
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leader:: [[people/davide]]
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@@ -97,7 +97,7 @@ progress:: {{renderer :todomaster}}
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- Propose guidelines and best practices for the responsible integration of LLMs in MDE workflows, considering the potential impact on stakeholders.
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- **Benchmarking and Evaluation Metrics:**
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collapsed:: true
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- Establish standardized benchmarks for evaluating the performance of LLMs in MDE tasks, considering factors such as model accuracy, efficiency, and adaptability.
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- Establish standardized [[benchmarks]] for evaluating the performance of LLMs in MDE tasks, considering factors such as model accuracy, efficiency, and adaptability.
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- Define metrics that go beyond traditional evaluation criteria to capture the unique challenges and requirements of MDE scenarios.
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- **Scalability and Resource Efficiency:**
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collapsed:: true
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