#AppealCase
[2025-05-23] 📚 Updates in #AILaw

(1) <a href="https://researchtrend.ai/papers/2505.16514" class="hover:underline text-blue-600 dark:text-sky-400 no-card-link" target="_blank" rel="noopener" data-link="bsky">AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios
(2) AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios

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May 23, 2025 at 4:46 AM
Yuting Huang, Meitong Guo, Yiquan Wu, Ang Li, Xiaozhong Liu, Keting Yin, Changlong Sun, Fei Wu, Kun Kuang
AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios
https://arxiv.org/abs/2505.16514
May 23, 2025 at 10:26 AM
scores on the judgment reversal prediction task, highlighting the complexity and challenge of the appeal scenario. We hope that the AppealCase dataset will spur further research in LegalAI for appellate case analysis and contribute to improving [5/6 of https://arxiv.org/abs/2505.16514v1]
May 23, 2025 at 6:07 AM
error correction and ensuring fair trials, making them highly significant both in practice and in research. To address this gap, we present the AppealCase dataset, consisting of 10,000 pairs of real-world, matched first-instance and second-instance [2/6 of https://arxiv.org/abs/2505.16514v1]
May 23, 2025 at 6:07 AM
Yuting Huang, Meitong Guo, Yiquan Wu, Ang Li, Xiaozhong Liu, Keting Yin, Changlong Sun, Fei Wu, Kun Kuang: AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios https://arxiv.org/abs/2505.16514 https://arxiv.org/pdf/2505.16514 https://arxiv.org/html/2505.16514
May 23, 2025 at 6:07 AM