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RAG-E is presented, an end-to-end explainability framework that quantifies retriever-generator alignment through mathematically grounded attribution methods and introduces the Weighted Alignment between Retriever and Generator (WARG) metric to measure how closely the generator's document usage aligns with retriever ran...
Dataset search often aims to identify joinable or unionable datasets to augment a given query table. State-of-the-art approaches rely on large language models (LLMs) to embed tables into vector representations and perform semantic similarity search. However, existing work assumes a centralized data repository with em...
This work presents EarthLake, a model lake system for Earth Observation (EO) FMs that integrates a schema-guided model registry, task-driven model discovery, and an experiment management framework for benchmarking and comparing candidate FMs.
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