6 citations · 6 across the 5 of their papers we have counts for
5 papers
On Improving Faithfulness of Podcasts from Documents
Soumya Dutta, Tejas Indulal Dhamecha, Pannaga Shivaswamy
Large language models (LLMs) are increasingly used to generate long-form conversational content such as podcasts from textual sources. While these systems produce fluent and engagi…
sPhinX: Sample Efficient Multilingual Instruction Fine-Tuning Through N-shot Guided Prompting
Sanchit Ahuja, Kumar Tanmay, Hardik Hansrajbhai Chauhan +9
Despite the remarkable success of large language models (LLMs) in English, a significant performance gap remains in non-English languages. To address this, we introduce a novel app…
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…
Joint Multi-Domain Learning for Automatic Short Answer Grading
Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya +3
One of the fundamental challenges towards building any intelligent tutoring system is its ability to automatically grade short student answers. A typical automatic short answer gra…