36 citations · 66 across the 12 of their papers we have counts for
11 papers · 1 filter
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
Shubham Vatsal, Harsh Dubey, Aditi Singh
Large language models (LLMs) have demonstrated impressive performance across a wide range of Natural Language Processing (NLP) tasks. However, ensuring their effectiveness across m…
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
Shubham Vatsal, Harsh Dubey
Large language models (LLMs) have shown remarkable performance on many different Natural Language Processing (NLP) tasks. Prompt engineering plays a key role in adding more to the…
Robustness of Large Language Models to Perturbations in Text
Ayush Singh, Navpreet Singh, Shubham Vatsal
Having a clean dataset has been the foundational assumption of most natural language processing (NLP) systems. However, properly written text is rarely found in real-world scenario…
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension
Shubham Vatsal, Ayush Singh
Large language models (LLMs) have shown remarkable performance on many tasks in different domains. However, their performance in closed-book biomedical machine reading comprehensio…
Emotion Classification in Low and Moderate Resource Languages
Shabnam Tafreshi, Shubham Vatsal, Mona Diab
It is important to be able to analyze the emotional state of people around the globe. There are 7100+ active languages spoken around the world and building emotion classification f…
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
Shubham Vatsal, Ayush Singh, Shabnam Tafreshi
Health insurance companies have a defined process called prior authorization (PA) which is a health plan cost-control process that requires doctors and other healthcare professiona…
Classification of US Supreme Court Cases using BERT-Based Techniques
Shubham Vatsal, Adam Meyers, John E. Ortega
Models based on bidirectional encoder representations from transformers (BERT) produce state of the art (SOTA) results on many natural language processing (NLP) tasks such as named…
Codeswitched Sentence Creation using Dependency Parsing
Dhruval Jain, Arun D Prabhu, Shubham Vatsal +2
Codeswitching has become one of the most common occurrences across multilingual speakers of the world, especially in countries like India which encompasses around 23 official langu…
On-Device Tag Generation for Unstructured Text
Manish Chugani, Shubham Vatsal, Gopi Ramena +2
With the overwhelming transition to smart phones, storing important information in the form of unstructured text has become habitual to users of mobile devices. From grocery lists…
On-Device Sentence Similarity for SMS Dataset
Arun D Prabhu, Nikhil Arora, Shubham Vatsal +3
Determining the sentence similarity between Short Message Service (SMS) texts/sentences plays a significant role in mobile device industry. Gauging the similarity between SMS data…
On-Device Information Extraction from SMS using Hybrid Hierarchical Classification
Shubham Vatsal, Naresh Purre, Sukumar Moharana +2
Cluttering of SMS inbox is one of the serious problems that users today face in the digital world where every online login, transaction, along with promotions generate multiple SMS…