activity
20192021
most citedCross-Lingual Ability of Multilingual BERT: An Empirical Study

171 citations · 175 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20211 cited

Revisiting Methods for Finding Influential Examples

Karthikeyan K, Anders Søgaard

Several instance-based explainability methods for finding influential training examples for test-time decisions have been proposed recently, including Influence Functions, TraceIn,…

cs.CL2021

Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance

Karthikeyan K, Aalok Sathe, Somak Aditya +1

Multilingual language models achieve impressive zero-shot accuracies in many languages in complex tasks such as Natural Language Inference (NLI). Examples in NLI (and equivalent co…

cs.CL20203 cited

Extending Multilingual BERT to Low-Resource Languages

Zihan Wang, Karthikeyan K, Stephen Mayhew +1

Multilingual BERT (M-BERT) has been a huge success in both supervised and zero-shot cross-lingual transfer learning. However, this success has focused only on the top 104 languages…

cs.LG2019

On the relationship between multitask neural networks and multitask Gaussian Processes

Karthikeyan K, Shubham Kumar Bharti, Piyush Rai

Despite the effectiveness of multitask deep neural network (MTDNN), there is a limited theoretical understanding on how the information is shared across different tasks in MTDNN. I…

cs.CL2019171 cited

Cross-Lingual Ability of Multilingual BERT: An Empirical Study

Karthikeyan K, Zihan Wang, Stephen Mayhew +1

Recent work has exhibited the surprising cross-lingual abilities of multilingual BERT (M-BERT) -- surprising since it is trained without any cross-lingual objective and with no ali…