Beyond Text Generation: Assessing Large Language Models’ Ability to Reason Logically and Follow Strict Rules
The growing interest in advanced large language models (LLMs) like ChatGPT has sparked debate about how best to use them in various human activities. However, a neglected issue in the debate concerning the applications of LLMs is whether they can reason logically and follow rules in novel contexts,...
Saved in:
Main Authors: | Zhiyong Han, Fortunato Battaglia, Kush Mansuria, Yoav Heyman, Stanley R. Terlecky |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | AI |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-2688/6/1/12 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Realization of business rules represented using formal logic sentences in information systems
by: Evaldas Lebedys, et al.
Published: (2004-12-01) -
Business rules systems modelling with UML and rules enforcing in active relational databases
by: Olegas Vasilecas, et al.
Published: (2004-12-01) -
Dennis Patterson on Wittgenstein
by: V. V. Ogleznev
Published: (2021-05-01) -
Application of active query languages to the implementation of business rules
by: Olegas Vasilecas, et al.
Published: (2004-12-01) -
A Classification Model Based on Interval Rule Inference Network with Interpretability
by: Yunxia Zhang, et al.
Published: (2025-01-01)