28 citations · 28 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Reexamining zero-shot summarization: Empirical investigation of trustworthiness of LLM-summarizers
Vasudha Bhatnagar, Purnima Bindal, Vikas Kumar +1
Zero-shot summarization using Large Language Models (LLMs) has significantly advanced the abstractive summarization task by producing coherent and fluent summaries. However, underl…
cs.CL2026
PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation
Devanshu Verma, Vasudha Bhatnagar, Vikas Kumar +1
Legal precedent retrieval is a fundamental task in legal case preparation, planning, litigation strategy, and legal research. Current approaches for automatic precedent retrieval m…
cs.IR2021★ 28 cited
Investigating Entropy for Extractive Document Summarization
Alka Khurana, Vasudha Bhatnagar
Automatic text summarization aims to cut down readers time and cognitive effort by reducing the content of a text document without compromising on its essence. Ergo, informativenes…