VCBench
Emerging5papers using it
2022first seen
VCBench is a benchmark dataset containing 4,500 founders used to evaluate the performance of decision-making models in venture capital founder screening, focusing on interpretability and predictive accuracy.
Papers using VCBench (5)
- From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated CodeProtean Compiler: An Agile Framework to Drive Fine-grain Phase OrderingACPO: AI-Enabled Compiler FrameworkCompiler Auto-tuning through Multiple Phase LearningMLGOPerf: An ML Guided Inliner to Optimize Performance