论文标题
LegalBench：原型制定合法推理的协作基准
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning
论文作者
论文摘要
是否可以指导基础模型执行涉及法律推理的任务？我们认为，建立一个基准来回答这个问题将需要计算机科学与法律社区之间持续的合作努力。为此，这份简短的纸张有三个目的。首先，我们描述了IRAC-A框架法律学者如何用来区分不同类型的法律推理 - can指导基础模型的基础基准。其次，我们提出了一个根据此框架构建的44个任务的种子集。我们讨论初始发现，并突出显示新任务的方向。最终，由开放科学运动启发，我们呼吁法律和计算机科学社区通过贡献新任务来加入我们的努力。这项工作正在进行中，我们的进度可以在此处跟踪：https：//github.com/hazyresearch/legalbench。
Can foundation models be guided to execute tasks involving legal reasoning? We believe that building a benchmark to answer this question will require sustained collaborative efforts between the computer science and legal communities. To that end, this short paper serves three purposes. First, we describe how IRAC-a framework legal scholars use to distinguish different types of legal reasoning-can guide the construction of a Foundation Model oriented benchmark. Second, we present a seed set of 44 tasks built according to this framework. We discuss initial findings, and highlight directions for new tasks. Finally-inspired by the Open Science movement-we make a call for the legal and computer science communities to join our efforts by contributing new tasks. This work is ongoing, and our progress can be tracked here: https://github.com/HazyResearch/legalbench.
