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Found 4 papers, 2 papers with code
Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT
The ultimate objective of this study is to instigate a scholarly discourse on the interplay between technological advancements in education and the evolution of human learning patterns, raising the question of whether technology is driving human evolution or vice versa.
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
For readability assessment, traditional methods mainly employ machine learning classifiers with hundreds of linguistic features.
CPS-MEBR: Click Feedback-Aware Web Page Summarization for Multi-Embedding-Based Retrieval
Meanwhile, we introduce sentence-level semantic interaction to design a multi-embedding-based retrieval (MEBR) model, which can generate multiple embeddings to deal with different potential queries by using frequently clicked sentences in web pages.
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models
To strengthen the word boundary information, we mix the representations of the internal characters within a word.
