Explore best practices on creating and utilizing Screens for optimal document analysis. Be a part of a community that values collaboration and innovation| www.screens.ai
Multi-hop reasoning is when an AI model connects multiple pieces of information present in a given text or across various sources and systems to surface a response.| www.moveworks.com
In a move aimed at bringing more transparency to the sector, legal tech company Screens, which is the sister business of contract-focused TermScout, has decided to make public its genAI accuracy le…| Artificial Lawyer
Generative AI is without doubt the most powerful technology to be applied to the legal sector since the arrival of digital tools, yet it has a serious challenge: accuracy. If legal genAI is to beco…| Artificial Lawyer
Large pre-trained language models have been shown to store factual knowledge in their parameters, and achieve state-of-the-art results when fine-tuned on downstream NLP tasks. However, their ability to access and precisely manipulate knowledge is still limited, and hence on knowledge-intensive tasks, their performance lags behind task-specific architectures. Additionally, providing provenance for their decisions and updating their world knowledge remain open research problems. Pre-trained mod...| arXiv.org
We explore how generating a chain of thought -- a series of intermediate reasoning steps -- significantly improves the ability of large language models to perform complex reasoning. In particular, we show how such reasoning abilities emerge naturally in sufficiently large language models via a simple method called chain of thought prompting, where a few chain of thought demonstrations are provided as exemplars in prompting. Experiments on three large language models show that chain of thought...| arXiv.org