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LLMs can significantly boost forecasting accuracy, but their effectiveness is hampered by measurement limitations and sensitivity to input changes.
Tool-based reasoning in IQA-T1 leads to significant improvements in image quality assessments, outperforming traditional methods while enhancing interpretability.
MMRM unlocks the full potential of multimodal representations in e-commerce search, achieving remarkable efficiency and effectiveness by integrating diverse collaborative signals.
