7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Training Large Language Models Efficiently with Sparsity and Dataflow
Venkat Srinivasan, Darshan Gandhi, Urmish Thakker +1
Large foundation language models have shown their versatility in being able to be adapted to perform a wide variety of downstream tasks, such as text generation, sentiment analysis…
cs.CL2017★ 7 cited
Improving Part-of-Speech Tagging for NLP Pipelines
Vishaal Jatav, Ravi Teja, Srini Bharadwaj +1
This paper outlines the results of sentence level linguistics based rules for improving part-of-speech tagging. It is well known that the performance of complex NLP systems is nega…