31 citations · 41 across the 5 of their papers we have counts for
5 papers
Scalable Parameter-Light Spectral Method for Clustering Short Text Embeddings with a Cohesion-Based Evaluation Metric
Nikita Neveditsin, Pawan Lingras, Vijay Mago
Clustering short text embeddings is a foundational task in natural language processing, yet remains challenging due to the need to specify the number of clusters in advance. We int…
Compact Multimodal Language Models as Robust OCR Alternatives for Noisy Textual Clinical Reports
Nikita Neveditsin, Pawan Lingras, Salil Patil +2
Digitization of medical records often relies on smartphone photographs of printed reports, producing images degraded by blur, shadows, and other noise. Conventional OCR systems, op…
Evaluating Structured Output Robustness of Small Language Models for Open Attribute-Value Extraction from Clinical Notes
Nikita Neveditsin, Pawan Lingras, Vijay Mago
We present a comparative analysis of the parseability of structured outputs generated by small language models for open attribute-value extraction from clinical notes. We evaluate…
From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models
Nikita Neveditsin, Pawan Lingras, Vijay Mago
This study examines the performance of Large Language Models (LLMs) in Aspect-Based Sentiment Analysis (ABSA), with a focus on implicit aspect extraction in a novel domain. Using a…
Clinical Insights: A Comprehensive Review of Language Models in Medicine
Nikita Neveditsin, Pawan Lingras, Vijay Mago
This paper explores the advancements and applications of language models in healthcare, focusing on their clinical use cases. It examines the evolution from early encoder-based sys…