Investigating the Impact of Cognitive Scales on Large Language Models through Stigmergic Directed Acyclic Graphs
Potential Abstract: This research article explores the potential of cognitive scales in improving the performance and interpretability of large language models, such as neural language models and transformers. Large language models have shown remarkable success in various natural language processing tasks, but their opacity and lack of interpretability hinder their application in educational contexts. By … Read more