4 citations · 9 across the 8 of their papers we have counts for
8 papers
Negated Complementary Commonsense using Large Language Models
Navid Rezaei, Marek Z. Reformat
Larger language models, such as GPT-3, have shown to be excellent in many tasks. However, we demonstrate that out-of-ordinary questions can throw the model off guard. This work foc…
Reinforcement Learning for Topic Models
Jeremy Costello, Marek Z. Reformat
We apply reinforcement learning techniques to topic modeling by replacing the variational autoencoder in ProdLDA with a continuous action space reinforcement learning policy. We tr…
Super-Prompting: Utilizing Model-Independent Contextual Data to Reduce Data Annotation Required in Visual Commonsense Tasks
Navid Rezaei, Marek Z. Reformat
Pre-trained language models have shown excellent results in few-shot learning scenarios using in-context learning. Although it is impressive, the size of language models can be pro…
AI-Fuzzy Markup Language with Computational Intelligence for High-School Student Learning
Chang-Shing Lee, Mei-Hui Wang, Yusuke Nojima +2
Computational Intelligence (CI), which includes fuzzy logic (FL), neural network (NN), and evolutionary computation (EC), is an imperative branch of artificial intelligence (AI). A…
Path Based Hierarchical Clustering on Knowledge Graphs
Marcin Pietrasik, Marek Reformat
Knowledge graphs have emerged as a widely adopted medium for storing relational data, making methods for automatically reasoning with them highly desirable. In this paper, we prese…
Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel
Zheng Yu, Xuhui Fan, Marcin Pietrasik +1
The Mixed-Membership Stochastic Blockmodel~(MMSB) is proposed as one of the state-of-the-art Bayesian relational methods suitable for learning the complex hidden structure underlyi…
Analysis of Word Embeddings Using Fuzzy Clustering
Shahin Atakishiyev, Marek Z. Reformat
In data dominated systems and applications, a concept of representing words in a numerical format has gained a lot of attention. There are a few approaches used to generate such a…
Identification of Pleonastic It Using the Web
Yifan Li, Petr Musilek, Marek Reformat +1
In a significant minority of cases, certain pronouns, especially the pronoun it, can be used without referring to any specific entity. This phenomenon of pleonastic pronoun usage p…