Shubham Vatsal

Orcid: 0009-0002-6435-1988

According to our database1, Shubham Vatsal authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents.
CoRR, February, 2026

Agentic AI in Healthcare and Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-Based Agents.
IEEE Access, 2026

2025
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks.
CoRR, May, 2025

2024
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks.
CoRR, 2024

Robustness of LLMs to Perturbations in Text.
CoRR, 2024

Emotion Classification in Low and Moderate Resource Languages.
CoRR, 2024

Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
CoRR, 2024

Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023
Classification of US Supreme Court Cases Using BERT-Based Techniques.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

2021
On-Device Sentence Similarity for SMS Dataset.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Codeswitched Sentence Creation using Dependency Parsing.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

On-Device Tag Generation for Unstructured Text.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

2020
On-Device Information Extraction from SMS using Hybrid Hierarchical Classification.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

On-Device Language Identification of Text in Images Using Diacritic Characters.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020


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