Deep Learning
BiasandVolatility: AStatisticalFrameworkfor EvaluatingLargeLanguageModel'sStereotypesand theAssociatedGenerationInconsistency
The biases ofSnow are manifested in the statistical properties of itsperspectives(i.e.
Shengqiong Wu1 Hao Fei
In this work, we investigate the task of text-to-image (T2I) synthesis under the abstract-to-intricate setting, i.e., generating intricate visual content from simple
MassSpecGym: A benchmark for the discovery and identification of molecules Roman Bushuiev
Despite decades of progress in machine learning applications for predicting molecular structures from MS/MS spectra, the development of new methods is severely hindered by the lack of standard datasets and evaluation protocols. To address this problem, we propose MassSpecGym - the first comprehensive benchmark for the discovery and identification of molecules from MS/MS data.
A NeurIPS Datasets and Benchmark Checklist
If it is a counter (e.g.
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only The Falcon LLM Team
Do not distribute. 1 Introduction
