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Sapienza University of Rome
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RoPE-trained transformers can leak absolute positional information through their attention mechanisms, revealing hidden architectural dependencies that could reshape model design.
IR systems optimized for humans may fail to satisfy AI agents, necessitating new datasets like ASQ that capture the nuances of agentic search behavior.
Radiology report generation can be both more accurate AND more interpretable: CEMRAG uses visual concepts to enhance multimodal RAG, challenging the assumed trade-off between transparency and diagnostic accuracy.
