2 citations · 3 across the 2 of their papers we have counts for
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cs.CL2026
When Citations Mislead? A Claim-Level Benchmark for Legal Hallucination Detection
M. Mikail Demir, M. Abdullah Canbaz
Large language models are increasingly used in legal research and drafting, but they can still produce claims that sound convincing without being supported by the cited source. We…
cs.CL2026★ 2 cited
Validate Your Authority: Benchmarking LLMs on Multi-Label Precedent Treatment Classification
M. Mikail Demir, M. Abdullah Canbaz
Automating the classification of negative treatment in legal precedent is a critical yet nuanced NLP task where misclassification carries significant risk. To address the shortcomi…
cs.CL2025★ 1 cited
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice
M. Mikail Demir, Hakan T. Otal, M. Abdullah Canbaz
Large Language Models (LLMs) hold promise for advancing legal practice by automating complex tasks and improving access to justice. However, their adoption is limited by concerns o…