3 citations · 9 across the 26 of their papers we have counts for
28 papers
CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation
Santosh T. Y. S. S, Youssef Tarek Elkhayat, Oana Ichim +5
Due to their ability to process long and complex contexts, LLMs can offer key benefits to the Legal domain, but their adoption has been hindered by their tendency to generate unfai…
LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law
T. Y. S. S Santosh, Mahmoud Aly, Oana Ichim +1
Analyzing large volumes of case law to uncover evolving legal principles, across multiple cases, on a given topic is a demanding task for legal professionals. Structured topical re…
Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases
Shanshan Xu, T. Y. S. S Santosh, Yanai Elazar +3
Recent works have shown that Large Language Models (LLMs) have a tendency to memorize patterns and biases present in their training data, raising important questions about how such…
LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases
T. Y. S. S. Santosh, Isaac Misael Olguín Nolasco, Matthias Grabmair
Prior case retrieval (PCR) is crucial for legal practitioners to find relevant precedent cases given the facts of a query case. Existing approaches often overlook the underlying se…
RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity
T. Y. S. S. Santosh, Chen Jia, Patrick Goroncy +1
This paper addresses the task of legal summarization, which involves distilling complex legal documents into concise, coherent summaries. Current approaches often struggle with con…
CoPERLex: Content Planning with Event-based Representations for Legal Case Summarization
T. Y. S. S. Santosh, Youssef Farag, Matthias Grabmair
Legal professionals often struggle with lengthy judgments and require efficient summarization for quick comprehension. To address this challenge, we investigate the need for struct…