5 citations · 5 across the 4 of their papers we have counts for
4 papers
Prompting with Pseudo-Code Instructions
Mayank Mishra, Prince Kumar, Riyaz Bhat +3
Prompting with natural language instructions has recently emerged as a popular method of harnessing the capabilities of large language models. Given the inherent ambiguity present…
Semi-Structured Object Sequence Encoders
Rudra Murthy, Riyaz Bhat, Chulaka Gunasekara +5
In this paper we explore the task of modeling semi-structured object sequences; in particular, we focus our attention on the problem of developing a structure-aware input represent…
Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages
Tejas Indulal Dhamecha, Rudra Murthy, Samarth Bharadwaj +2
We explore the impact of leveraging the relatedness of languages that belong to the same family in NLP models using multilingual fine-tuning. We hypothesize and validate that multi…
Sharing Network Parameters for Crosslingual Named Entity Recognition
Rudra Murthy, Mitesh Khapra, Pushpak Bhattacharyya
Most state of the art approaches for Named Entity Recognition rely on hand crafted features and annotated corpora. Recently Neural network based models have been proposed which do…