10. prosince 2023
Sprecher:in · 0 Follower:innen
Sprecher:in · 5 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
Sprecher:in · 0 Follower:innen
The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform? To enable greater study of this question, we present LegalBench: a collaboratively constructed legal reasoning benchmark consisting of 162 tasks covering six different types of legal reasoning. LegalBench was built through an interdisciplinary process, in which we collected tasks designed and hand-crafted by legal professionals. Because these subject matter experts took a leading role in construction, tasks either measure legal reasoning capabilities that are practically useful, or measure reasoning skills that lawyers find interesting. To enable cross-disciplinary conversations about LLMs in the law, we additionally show how popular legal frameworks for describing legal reasoning—which distinguish between its many forms—correspond to LegalBench tasks, thus giving lawyers and LLM developers a common vocabulary. This paper describes LegalBench, shows how it can be used to evaluate LLMs, and illustrates empirically the directions for future research that it enables.The advent of large language models (LLMs) and their adoption by the legal community has given rise to the question: what types of legal reasoning can LLMs perform? To enable greater study of this question, we present LegalBench: a collaboratively constructed legal reasoning benchmark consisting of 162 tasks covering six different types of legal reasoning. LegalBench was built through an interdisciplinary process, in which we collected tasks designed and hand-crafted by legal professionals. Beca…
Konto · 646 Follower:innen
Profesionální natáčení a streamování po celém světě.
Prezentace na podobné téma, kategorii nebo přednášejícího
Ewigspeicher-Fortschrittswert: 0 = 0.0%
Ewigspeicher-Fortschrittswert: 0 = 0.0%
Ewigspeicher-Fortschrittswert: 0 = 0.0%
Ewigspeicher-Fortschrittswert: 0 = 0.0%
Hanyu Zhang, …
Ewigspeicher-Fortschrittswert: 0 = 0.0%
Ewigspeicher-Fortschrittswert: 0 = 0.0%