Papers by Yoshiki Takashima
CourtReasoner: Can LLM Agents Reason Like Judges? (2025.emnlp-main)
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Sophia Simeng Han, Yoshiki Takashima, Shannon Zejiang Shen, Chen Liu, Yixin Liu, Roque K. Thuo, Sonia Knowlton, Ruzica Piskac, Scott J Shapiro, Arman Cohan
| Challenge: | Large language models (LLMs) have achieved impressive results across mathematical, logical, and commonsense reasoning tasks. |
| Approach: | They propose a novel expert-annotated judicial reasoning benchmark to measure LLMs' ability to construct goal-oriented legal reasoning. |
| Outcome: | The proposed benchmark measures the LLM agent’s ability to construct goal-oriented legal reasoning. |