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20172022
most citedCOVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction

33 citations · 38 across the 4 of their papers we have counts for

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Showing cs.CLShow all

10 papers · 1 filter

cs.CL20221 cited

The Curious Case of Absolute Position Embeddings

Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy +3

Transformer language models encode the notion of word order using positional information. Most commonly, this positional information is represented by absolute position embeddings…

cs.CL2021

Evaluating Gender Bias in Natural Language Inference

Shanya Sharma, Manan Dey, Koustuv Sinha

Gender-bias stereotypes have recently raised significant ethical concerns in natural language processing. However, progress in detection and evaluation of gender bias in natural la…

cs.CL20214 cited

Sometimes We Want Translationese

Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau +1

Rapid progress in Neural Machine Translation (NMT) systems over the last few years has been driven primarily towards improving translation quality, and as a secondary focus, improv…

cs.CL2021

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little

Koustuv Sinha, Robin Jia, Dieuwke Hupkes +3

A possible explanation for the impressive performance of masked language model (MLM) pre-training is that such models have learned to represent the syntactic structures prevalent i…

cs.CL2021

UnNatural Language Inference

Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau +1

Recent investigations into the inner-workings of state-of-the-art large-scale pre-trained Transformer-based Natural Language Understanding (NLU) models indicate that they appear to…

cs.CL2020

Probing Linguistic Systematicity

Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell

Recently, there has been much interest in the question of whether deep natural language understanding models exhibit systematicity; generalizing such that units like words make con…