Rudra Murthy V | DeepAI

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Featured Co-authors

Pushpak Bhattacharyya
86 publications
Mitesh M. Khapra
59 publications
Pratyush Kumar
32 publications
Anoop Kunchukuttan
31 publications
Karthik Sankaranarayanan
21 publications
Danish Contractor
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Chulaka Gunasekara
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Hui Wan
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Srikanth Tamilselvam
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Mayank Mishra
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Sumanth Doddapaneni
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∙ 05/19/2023

Prompting with Pseudo-Code Instructions

Prompting with natural language instructions has recently emerged as a p...

0 Mayank Mishra, et al. ∙

∙ 03/02/2023

Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT

We aim to investigate whether UNMT approaches with self-supervised pre-t...

0 Tamali Banerjee, et al. ∙

∙ 01/03/2023

Semi-Structured Object Sequence Encoders

In this paper we explore the task of modeling (semi) structured object s...

0 Rudra Murthy V, et al. ∙

∙ 12/20/2022

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages

We present, Naamapadam, the largest publicly available Named Entity Reco...

0 Arnav Mhaske, et al. ∙

∙ 09/22/2021

Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages

We explore the impact of leveraging the relatedness of languages that be...

6 Tejas Indulal Dhamecha, et al. ∙

∙ 06/09/2021

Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study

Recent advances in Unsupervised Neural Machine Translation (UNMT) have m...

0 Tamali Banerjee, et al. ∙

∙ 10/30/2019

Ordering Matters: Word Ordering Aware Unsupervised NMT

Denoising-based Unsupervised Neural Machine Translation (U-NMT) models t...

12 Tamali Banerjee, et al. ∙

∙ 11/01/2018

Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages

Transfer learning approaches for Neural Machine Translation (NMT) train ...

0 Rudra Murthy V, et al. ∙

∙ 07/01/2016

Sharing Network Parameters for Crosslingual Named Entity Recognition

Most state of the art approaches for Named Entity Recognition rely on ha...

0 Rudra Murthy V, et al. ∙

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