4 citations · 13 across the 29 of their papers we have counts for
30 papers
BenGER Platform: A Collaborative Web Platform for End-to-End Benchmarking of German Legal Tasks
Sebastian Nagl, Matthias Grabmair
Evaluating large language models (LLMs) for legal reasoning requires workflows that span task design, expert annotation, model execution, and metric-based evaluation. In practice,…
CourtPressGER: A German Court Decision to Press Release Summarization Dataset
Sebastian Nagl, Mohamed Elganayni, Melanie Pospisil +1
Official court press releases from Germany's highest courts present and explain judicial rulings to the public, as well as to expert audiences. Prior NLP efforts emphasize technica…
Efficient Prompt Optimisation for Legal Text Classification with Proxy Prompt Evaluator
Hyunji Lee, Kevin Chenhao Li, Matthias Grabmair +1
Prompt optimization aims to systematically refine prompts to enhance a language model's performance on specific tasks. Fairness detection in Terms of Service (ToS) clauses is a cha…
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…
QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval
T. Y. S. S. Santosh, Hassan Sarwat, Matthias Grabmair
In this paper, we introduce QABISAR, a novel framework for statutory article retrieval, to overcome the semantic mismatch problem when modeling each query-article pair in isolation…
LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English
T. Y. S. S. Santosh, Cornelius Weiss, Matthias Grabmair
In the evolving NLP landscape, benchmarks serve as yardsticks for gauging progress. However, existing Legal NLP benchmarks only focus on predictive tasks, overlooking generative ta…
HiCuLR: Hierarchical Curriculum Learning for Rhetorical Role Labeling of Legal Documents
T. Y. S. S. Santosh, Apolline Isaia, Shiyu Hong +1
Rhetorical Role Labeling (RRL) of legal documents is pivotal for various downstream tasks such as summarization, semantic case search and argument mining. Existing approaches often…
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification -- An Empirical Study on European Court of Human Rights Cases
T. Y. S. S. Santosh, Irtiza Chowdhury, Shanshan Xu +1
In high-stakes decision-making tasks within legal NLP, such as Case Outcome Classification (COC), quantifying a model's predictive confidence is crucial. Confidence estimation enab…
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases
T. Y. S. S. Santosh, Mohamed Hesham Elganayni, Stanisław Sójka +1
Inspired by the legal doctrine of stare decisis, which leverages precedents (prior cases) for informed decision-making, we explore methods to integrate them into LJP models. To fac…
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks
T. Y. S. S Santosh, Tuan-Quang Vuong, Matthias Grabmair
This study investigates the challenges posed by the dynamic nature of legal multi-label text classification tasks, where legal concepts evolve over time. Existing models often over…
Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents
T. Y. S. S Santosh, Hassan Sarwat, Ahmed Abdou +1
Rhetorical Role Labeling (RRL) of legal judgments is essential for various tasks, such as case summarization, semantic search and argument mining. However, it presents challenges s…
ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights
T. Y. S. S Santosh, Rashid Gustav Haddad, Matthias Grabmair
In common law jurisdictions, legal practitioners rely on precedents to construct arguments, in line with the doctrine of \emph{stare decisis}. As the number of cases grow over the…
Query-driven Relevant Paragraph Extraction from Legal Judgments
T. Y. S. S Santosh, Elvin Quero Hernandez, Matthias Grabmair
Legal professionals often grapple with navigating lengthy legal judgements to pinpoint information that directly address their queries. This paper focus on this task of extracting…
LexAbSumm: Aspect-based Summarization of Legal Decisions
T. Y. S. S Santosh, Mahmoud Aly, Matthias Grabmair
Legal professionals frequently encounter long legal judgments that hold critical insights for their work. While recent advances have led to automated summarization solutions for le…
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval
T. Y. S. S Santosh, Kristina Kaiser, Matthias Grabmair
In this paper, we introduce CuSINeS, a negative sampling approach to enhance the performance of Statutory Article Retrieval (SAR). CuSINeS offers three key contributions. Firstly,…
Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization
T. Y. S. S Santosh, Vatsal Venkatkrishna, Saptarshi Ghosh +1
Legal professionals face the challenge of managing an overwhelming volume of lengthy judgments, making automated legal case summarization crucial. However, prior approaches mainly…
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset
Santosh T. Y. S. S, Nina Baumgartner, Matthias Stürmer +2
The assessment of explainability in Legal Judgement Prediction (LJP) systems is of paramount importance in building trustworthy and transparent systems, particularly considering th…
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification
Shanshan Xu, T. Y. S. S Santosh, Oana Ichim +2
In legal decisions, split votes (SV) occur when judges cannot reach a unanimous decision, posing a difficulty for lawyers who must navigate diverse legal arguments and opinions. In…
VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights
Shanshan Xu, Leon Staufer, T. Y. S. S Santosh +3
Recognizing vulnerability is crucial for understanding and implementing targeted support to empower individuals in need. This is especially important at the European Court of Human…
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification
Shanshan Xu, T. Y. S. S Santosh, Oana Ichim +3
In legal NLP, Case Outcome Classification (COC) must not only be accurate but also trustworthy and explainable. Existing work in explainable COC has been limited to annotations by…