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Found 4 papers, 4 papers with code
Multi-lingual Evaluation of Code Generation Models
Using these benchmarks, we are able to assess the performance of code generation models in a multi-lingual fashion, and discovered generalization ability of language models on out-of-domain languages, advantages of multi-lingual models over mono-lingual, the ability of few-shot prompting to teach the model new languages, and zero-shot translation abilities even on mono-lingual settings.
Gradient Boosted Normalizing Flows
We propose an alternative: Gradient Boosted Normalizing Flows (GBNF) model a density by successively adding new NF components with gradient boosting.
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora
Extracting common narratives from multi-author dynamic text corpora requires complex models, such as the Dynamic Author Persona (DAP) topic model.
Topic Modeling on Health Journals with Regularized Variational Inference
Topic modeling enables exploration and compact representation of a corpus.
