NICER/NuSTAR Characterization of 4U 1957+11: A Near Maximally Spinning Black Hole Potentially in the Mass Gap

Kavli Affiliate: Ronald A. Remillard | First 5 Authors: Erin Barillier, Victoria Grinberg, David Horn, Michael A. Nowak, Ronald A. Remillard | Summary: 4U 1957+11 is a black hole candidate system that has been in a soft X-ray spectral state since its discovery. We present analyses of recent joint NICER and NuSTAR spectra, which are […]


Continue.. NICER/NuSTAR Characterization of 4U 1957+11: A Near Maximally Spinning Black Hole Potentially in the Mass Gap

Common rules underlying optogenetic and behavioral modulation of responses in multi-cell-type V1 circuits

Kavli Affiliate: Kenneth Miller | Authors: Agostina Palmigiano, Francesco Fumarola, Daniel P. Mossing, Nataliya Kraynyukova, Hillel Adesnik and Kenneth Miller | Summary: The visual cortex receives non-sensory inputs containing behavioral and brain state information. Here we propose a parallel between optogenetic and behavioral modulations of activity and characterize their impact on cell-type-specific V1 processing under […]


Continue.. Common rules underlying optogenetic and behavioral modulation of responses in multi-cell-type V1 circuits

CodeScore: Evaluating Code Generation by Learning Code Execution

Kavli Affiliate: Zhuo Li | First 5 Authors: Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li | Summary: A proper code evaluation metric (CEM) profoundly impacts the evolution of code generation, which is an important research field in NLP and software engineering. Prevailing match-based CEMs (e.g., BLEU, Accuracy, and CodeBLEU) suffer from two […]


Continue.. CodeScore: Evaluating Code Generation by Learning Code Execution

CodeScore: Evaluating Code Generation by Learning Code Execution

Kavli Affiliate: Zhuo Li | First 5 Authors: Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li | Summary: A proper code evaluation metric (CEM) profoundly impacts the evolution of code generation, which is an important research field in NLP and software engineering. Prevailing match-based CEMs (e.g., BLEU, Accuracy, and CodeBLEU) suffer from two […]


Continue.. CodeScore: Evaluating Code Generation by Learning Code Execution

CodeScore: Evaluating Code Generation by Learning Code Execution

Kavli Affiliate: Zhuo Li | First 5 Authors: Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li | Summary: A proper code evaluation metric (CEM) profoundly impacts the evolution of code generation, which is an important research field in NLP and software engineering. Prevailing match-based CEMs (e.g., BLEU, Accuracy, and CodeBLEU) suffer from two […]


Continue.. CodeScore: Evaluating Code Generation by Learning Code Execution