6 citations · 6 across the 2 of their papers we have counts for
4 papers
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain
Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani +7
Pre-trained language models have shown impressive performance on a variety of tasks and domains. Previous research on financial language models usually employs a generic training s…
Effective Drift Estimates for Random Walks on Graph Products
Kunal Chawla
We find uniform lower bounds on the drift for a large family of random walks on graph products, of the form for . This includ…
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization
Kunal Chawla, Diyi Yang
Formality style transfer is the task of converting informal sentences to grammatically-correct formal sentences, which can be used to improve performance of many downstream NLP tas…
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim, Bhavya Goyal, Kunal Chawla +2
Deep metric learning aims to learn an embedding function, modeled as deep neural network. This embedding function usually puts semantically similar images close while dissimilar im…