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Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Decoding methods for large language models often trade-off between diver...
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Scaling Up Models and Data with and
Recent neural network-based language models have benefited greatly from ...
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FRUIT: Faithfully Reflecting Updated Information in Text
Textual knowledge bases such as Wikipedia require considerable effort to...
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Faster Neural Network Training with Data Echoing
In the twilight of Moore's law, GPUs and other specialized hardware acce...
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TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning
TensorFlow Eager is a multi-stage, Python-embedded domain-specific langu...
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Large scale distributed neural network training through online distillation
Techniques such as ensembling and distillation promise model quality imp...
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Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
There is rising interest in vector-space word embeddings and their use i...
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