arXiv (All)
open access
Classifying Interpretive Canons at the Sentence Level: A Benchmark from the German Federal Constitutional Court
Judicial reasoning remains challenging for large language models (LLMs) to analyze. This paper contributes a sentence-level benchmark for evaluating the ability of LLMs to classify interpretive canons as articulated by Larenz in the tradition of Savigny. Our contributions are threefold. First, we op
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge#987580
- LLM-Assisted Legal Propositions Identification from Party Arguments in the U.S. Supreme Court Briefs#983333
- Pair Difficulty Matters: Rethinking Pairwise LLM-as-a-Judge Evaluation and Consistency#1141894
- A Short Survey of Viewing Large Language Models in Legal Aspect#997896
- Does Reasoning Improve Psychological Depth in Large Language Models? It Depends on Who's Judging#1083274
Record · ID 1063156
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive