1 citations · 2 across the 8 of their papers we have counts for
8 papers
GreekBarRetrieval: A Benchmark for Greek Statutory Retrieval
Ernest Beta, Odysseas S. Chlapanis, Dimitrios Galanis +1
Statutory retrieval is necessary for citation-grounded legal question answering, but remains underexplored for Greek. We introduce GreekBarRetrieval, a public retrieval benchmark d…
The Grounding Gap: How LLMs Anchor the Meaning of Abstract Concepts Differently from Humans
Odysseas S. Chlapanis, Orfeas Menis Mastromichalakis, Christos H. Papadimitriou
Abstract concepts - justice, theory, availability - have no single perceivable referent; in the human brain, their meaning emerges from a web of experiences, affect, and social con…
GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations
Odysseas S. Chlapanis, Dimitrios Galanis, Nikolaos Aletras +1
We introduce GreekBarBench, a benchmark that evaluates LLMs on legal questions across five different legal areas from the Greek Bar exams, requiring citations to statutory articles…
AUEB-Archimedes at RIRAG-2025: Is obligation concatenation really all you need?
Ioannis Chasandras, Odysseas S. Chlapanis, Ion Androutsopoulos
This paper presents the systems we developed for RIRAG-2025, a shared task that requires answering regulatory questions by retrieving relevant passages. The generated answers are e…
LAR-ECHR: A New Legal Argument Reasoning Task and Dataset for Cases of the European Court of Human Rights
Odysseas S. Chlapanis, Dimitrios Galanis, Ion Androutsopoulos
We present Legal Argument Reasoning (LAR), a novel task designed to evaluate the legal reasoning capabilities of Large Language Models (LLMs). The task requires selecting the corre…
Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
Christos Fragkathoulas, Odysseas S. Chlapanis
This paper introduces a novel task to assess the faithfulness of large language models (LLMs) using local perturbations and self-explanations. Many LLMs often require additional co…
Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure
Odysseas S. Chlapanis, Ion Androutsopoulos, Dimitrios Galanis
The SemEval task on Argument Reasoning in Civil Procedure is challenging in that it requires understanding legal concepts and inferring complex arguments. Currently, most Large Lan…
Adapted Multimodal BERT with Layer-wise Fusion for Sentiment Analysis
Odysseas S. Chlapanis, Georgios Paraskevopoulos, Alexandros Potamianos
Multimodal learning pipelines have benefited from the success of pretrained language models. However, this comes at the cost of increased model parameters. In this work, we propose…