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LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation

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Vihtelic, T. S., & Hyde, D. R. (2000) · Journal of Neurobiology

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Mueller, A., Brinkmann, J., Li, M., Marks, S., Pal, K., Prakash, N., Rager, C., Sankaranarayanan, A., Sharma, A. S., Sun, J., et al. (2024) · arXiv

Classification of sporadic Creutzfeldt-Jakob disease based on molecular and phenotypic analysis of 300 subjects

Parchi, P., Giese, A., Capellari, S., Brown, P., Schulz-Schaeffer, W., Windl, O., Zerr, I., Budka, H., Kopp, N., Piccardo, P., et al. (1999) · Annals of Neurology

Competition-Level Problems are Effective LLM Evaluators

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GEDI L3 Gridded Land Surface Metrics, Version 1

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Distribution of oxytocin- and vasopressin-binding sites in the rat extended amygdala: a histoautoradiographic study

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Analytical challenges in customer acquisition

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Rethinking Language Models as Symbolic Knowledge Graphs

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Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles

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Composing graphical models with neural networks for structured representations and fast inference

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Fantastic Generalization Measures and Where to Find Them

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Optimalisasi Media Word Wall untuk Peningkatan Motivasi, Hasil Belajar, dan Kemampuan Berpikir Kritis dalam Pembelajaran PKn di SD

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Pattern recognition techniques for Boson Sampling validation

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Data Shapley: Equitable Valuation of Data for Machine Learning

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