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A blog post discussing how increased granularity in systems, such as tick sizes in financial markets and time slots for booking sports courts, can introduce strategic gaming and inefficiencies, arguing that finer choices are not always beneficial.
Granuscore is a reference-free measure of granularity for text analysis and question answering. It uses hierarchical embedding spaces to capture fine-grained vs. coarse language and demonstrates consistent differences in model behavior across QA benchmarks.
This paper introduces GranuVistaVQA, a multimodal benchmark with element-level annotations, and GranuRAG, a framework that treats visual elements as first-class retrieval units for verifiable multimodal RAG, achieving up to 29.2% improvement over baselines.