4 papers
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…
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…
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…
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…