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ART fine-tunes multimodal LLMs by optimizing visual inputs, achieving competitive accuracy without altering model architecture.
Reproducibility crisis hits RAG: closed-source LLM updates, missing implementation details, and unreleased prompts make replicating MetaRAG's original performance a challenge, despite confirming relative gains.