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Vasudha Bhatnagar

5 papers hereh-index 5280 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI1
  • cs.IR1
same name
  • Vasudha Bhatnagar — 13 papers, h 26
  • Vasudha Bhatnagar — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedInvestigating Entropy for Extractive Document Summarization

28 citations · 28 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

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.CL2025

AugAbEx: Bridging Abstractive and Extractive Legal Summarization

Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar

Automatic summarization of legal judgments liberates law professionals from heavy cognitive burden due to the complexity of the language, context-sensitive legal jargon, and the le…

cs.CL2024

Citation-Based Summarization of Landmark Judgments

Purnima Bindal, Vikas Kumar, Vasudha Bhatnagar +2

Landmark judgments are of prime importance in the Common Law System because of their exceptional jurisprudence and frequent references in other judgments. In this work, we leverage…

cs.CL2024★ 4 cited

Infusing Knowledge into Large Language Models with Contextual Prompts

Kinshuk Vasisht, Balaji Ganesan, Vikas Kumar +1

Knowledge infusion is a promising method for enhancing Large Language Models for domain-specific NLP tasks rather than pre-training models over large data from scratch. These augme…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.