[2603.26332] CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law

[2603.26332] CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law

arXiv - AI 3 min read

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Abstract page for arXiv paper 2603.26332: CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law

Computer Science > Computation and Language arXiv:2603.26332 (cs) [Submitted on 27 Mar 2026] Title:CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law Authors:JiHyeok Jung, TaeYoung Yoon, HyunSouk Cho View a PDF of the paper titled CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law, by JiHyeok Jung and 2 other authors View PDF HTML (experimental) Abstract:Legal reasoning requires not only the application of legal rules but also an understanding of the context in which those rules operate. However, existing legal benchmarks primarily evaluate rule application under the assumption of fixed norms, and thus fail to capture situations where legal judgments shift or where multiple norms interact. In this work, we propose CALRK-Bench, a context-aware legal reasoning benchmark based on the legal system in Korean. CALRK-Bench evaluates whether models can identify the temporal validity of legal norms, determine whether sufficient legal information is available for a given case, and understand the reasons behind shifts in legal judgments. The dataset is constructed from legal precedents and legal consultation records, and is validated by legal experts. Experimental results show that even recent large language models consistently exhibit low performance on these three tasks. CALRK-Bench provides a new stress test for evaluating context-aware legal reasoning rather than simple memorization of legal knowledge. Our code is available at this https URL. Com...

Originally published on March 30, 2026. Curated by AI News.

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