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By dynamically updating retrieval memory based on past successes, GAM-RAG slashes inference costs by 61% while boosting RAG performance by nearly 4%.
Instruction-based image editing models still struggle to edit small objects, with a new benchmark revealing significant performance gaps despite progress on existing benchmarks.
