C Jiang, X Yang - … of the Nineteenth International Conference on …, 2023 - dl.acm.org
Legal syllogism is a form of deductive reasoning commonly used by legal professionals to analyze cases. In this paper, we propose legal syllogism prompting (LoT), a simple …
P Zhang - arXiv preprint arXiv:2305.11888, 2023 - arxiv.org
A growing literature studies how humans incorporate advice from algorithms. This study examines an algorithm with millions of daily users: ChatGPT. In a preregistered study, 118 …
A hallmark property of explainable AI models is the ability to teach other agents, communicating knowledge of how to perform a task. While Large Language Models (LLMs) …
Large language models (LLMs) have shown remarkable performance across various natural language processing (NLP) tasks, indicating their significant potential as data annotators …
D Li, J Yu, B Hu, Z Xu, M Zhang - arXiv preprint arXiv:2305.12945, 2023 - arxiv.org
As ChatGPT and GPT-4 spearhead the development of Large Language Models (LLMs), more researchers are investigating their performance across various tasks. But more …
Generative AI (GenAI) marked a shift from AI being able to recognize to AI being able to generate solutions for a wide variety of tasks. As the generated solutions and applications …
S Saha, P Hase, M Bansal - … of the 37th International Conference on …, 2023 - dl.acm.org
A hallmark property of explainable AI models is the ability to teach other agents, communicating knowledge of how to perform a task. While Large Language Models (LLMs) …
M Battogtokh, M Luck, C Davidescu… - European Conference on …, 2023 - Springer
Fine-grained text classification with similar and many labels is a challenge in practical applications. Interpreting predictions in this context is particularly difficult. To address this …
The field of machine learning has reached the point where learning systems now accomplish complicated tasks that we cannot ourselves describe algorithmic solutions to …