17 citations · 38 across the 8 of their papers we have counts for
8 papers
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
Jan Cegin, Jakub Simko, Peter Brusilovsky
The emergence of generative large language models (LLMs) raises the question: what will be its impact on crowdsourcing? Traditionally, crowdsourcing has been used for acquiring sol…
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization
Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao +2
Knowledge Tracing (KT), which aims to model student knowledge level and predict their performance, is one of the most important applications of user modeling. Modern KT approaches…
From Ranked Lists to Carousels: A Carousel Click Model
Behnam Rahdari, Branislav Kveton, Peter Brusilovsky
Carousel-based recommendation interfaces allow users to explore recommended items in a structured, efficient, and visually-appealing way. This made them a de-facto standard approac…
Concept Annotation for Intelligent Textbooks
Mengdi Wang, Hung Chau, Khushboo Thaker +2
With the increased popularity of electronic textbooks, there is a growing interests in developing a new generation of "intelligent textbooks", which have the ability to guide the r…
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence
Rui Meng, Xingdi Yuan, Tong Wang +3
Recently, concatenating multiple keyphrases as a target sequence has been proposed as a new learning paradigm for keyphrase generation. Existing studies concatenate target keyphras…
Sequence Analysis of Learning Behavior in Different Consecutive Activities
Abdulelah Abuabat, Peter Brusilovsky
The purpose of this research is to study the possibility of identifying students, statistically, by analyzing their behavior in different consecutive activities. In this project, t…