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pro vyhledávání: '"Surani, Faiz"'
Autor:
Magesh, Varun, Surani, Faiz, Dahl, Matthew, Suzgun, Mirac, Manning, Christopher D., Ho, Daniel E.
Legal practice has witnessed a sharp rise in products incorporating artificial intelligence (AI). Such tools are designed to assist with a wide range of core legal tasks, from search and summarization of caselaw to document drafting. But the large la
Externí odkaz:
http://arxiv.org/abs/2405.20362
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Autor:
Guha, Neel, Nyarko, Julian, Ho, Daniel E., Ré, Christopher, Chilton, Adam, Narayana, Aditya, Chohlas-Wood, Alex, Peters, Austin, Waldon, Brandon, Rockmore, Daniel N., Zambrano, Diego, Talisman, Dmitry, Hoque, Enam, Surani, Faiz, Fagan, Frank, Sarfaty, Galit, Dickinson, Gregory M., Porat, Haggai, Hegland, Jason, Wu, Jessica, Nudell, Joe, Niklaus, Joel, Nay, John, Choi, Jonathan H., Tobia, Kevin, Hagan, Margaret, Ma, Megan, Livermore, Michael, Rasumov-Rahe, Nikon, Holzenberger, Nils, Kolt, Noam, Henderson, Peter, Rehaag, Sean, Goel, Sharad, Gao, Shang, Williams, Spencer, Gandhi, Sunny, Zur, Tom, Iyer, Varun, Li, Zehua
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 co
Externí odkaz:
http://arxiv.org/abs/2308.11462
Autor:
Goel, Rahul, Ammar, Waleed, Gupta, Aditya, Vashishtha, Siddharth, Sano, Motoki, Surani, Faiz, Chang, Max, Choe, HyunJeong, Greene, David, He, Kyle, Nitisaroj, Rattima, Trukhina, Anna, Paul, Shachi, Shah, Pararth, Shah, Rushin, Yu, Zhou
Research interest in task-oriented dialogs has increased as systems such as Google Assistant, Alexa and Siri have become ubiquitous in everyday life. However, the impact of academic research in this area has been limited by the lack of datasets that
Externí odkaz:
http://arxiv.org/abs/2303.08954