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Quantifying Qualitative Insights: Leveraging LLMs to Market Predict
However, challenges such as insufficient context when fusing multimodal information and the difficulty in measuring the utility of qualitative outputs, which LLMs generate as text, have limited their effectiveness in tasks such as financial forecasting.
LLM-as-a-Judge & Reward Model: What They Can and Cannot Do
LLM-as-a-Judge and reward models are widely used alternatives of multiple-choice questions or human annotators for large language model (LLM) evaluation.
Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display
Based on this, 3D image artifacts are shown to be effectively removed in a test TLA-IID with challenging misalignments.
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