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LLM agents can dramatically improve their long-horizon decision-making by strategically managing memory, with performance varying significantly based on memory structure.
SMART achieves a remarkable 0.42 dB improvement in PSNR over state-of-the-art methods, tackling the critical challenge of geometric consistency in light field super-resolution.