Papers with KCL-Essay
Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs’ Legal Reasoning Capabilities (2026.eacl-short)
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| Challenge: | Large reasoning models trained to reason explicitly in the verbal space have shown superior performance over general large language models (Guo et al., 2025). |
| Approach: | They propose to use Korean Canonical Legal Benchmark to assess language models' legal reasoning capabilities independently of domain-specific knowledge. |
| Outcome: | The proposed benchmark outperforms general-purpose models in a systematic evaluation of 30+ models. |