1 citations · 1 across the 4 of their papers we have counts for
4 papers
L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Models
Nidhi Kowtal, Raviraj Joshi
Emotion recognition in low-resource languages like Marathi remains challenging due to limited annotated data. We present L3Cube-MahaEmotions, a high-quality Marathi emotion recogni…
A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations
Nidhi Kowtal, Tejas Deshpande, Raviraj Joshi
Machine translation in low-resource language pairs faces significant challenges due to the scarcity of parallel corpora and linguistic resources. This study focuses on the case of…
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Tejas Deshpande, Nidhi Kowtal, Raviraj Joshi
This paper introduces Chain of Translation Prompting (CoTR), a novel strategy designed to enhance the performance of language models in low-resource languages. CoTR restructures pr…
Converting Epics/Stories into Pseudocode using Transformers
Gaurav Kolhatkar, Akshit Madan, Nidhi Kowtal +2
The conversion of user epics or stories into their appropriate representation in pseudocode or code is a time-consuming task, which can take up a large portion of the time in an in…