Parichit Sharma
Computer Science · Indiana University
Publications
16
Citations
82
Est. group size
—
Recurring co-author estimate
Active years
13
Publishing since 2014
Parichit Sharma works in computer science with a focus on machine learning and data analysis methods, including clustering algorithms for large datasets and tools for scientific applications. Recent work spans detecting errors in large language model outputs, faster and more energy-efficient clustering methods, and applying artificial intelligence to interpret text. Earlier work applied computational methods to biological problems such as scoring protein interactions.
After a steady low output in earlier years, publication activity has grown noticeably in 2024 and 2025.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- SINdex: <b>S</b> emantic <b>IN</b> consistency Index for Hallucination Detection in LLMs
IEEE Open Journal of the Computer Society · 2026
- Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means
arXiv (Cornell University) · 2025
- Are Sports Awards About Sports? Using AI to Find the Answer
Communications in computer and information science · 2024
- DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization
SoftwareX · 2021
- Clustering Big Data using Expectation Maximization Star (EM*) Algorithm [R package DCEM version 2.0.4]
2020
- Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
Nucleic Acids Research · 2019
- DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
2018
- Scientific Reports×1
- Nucleic Acids Research×1
- Key engineering materials×1
- SoftwareX×1
- Machine Learning Science and Technology×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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