6 citations · 9 across the 5 of their papers we have counts for
5 papers
Detecting Hallucination in LLMs: Tracing the Topological Signatures of Impaired Context Sharing
Amir Jalilifard, Anderson Rocha, Eric Wong +1
In this work, we examine the topology of information flow patterns within attention graphs to effectively distinguish hallucinated from non-hallucinated responses. We analyze the F…
Friendship is All we Need: A Multi-graph Embedding Approach for Modeling Customer Behavior
Amir Jalilifard, Dehua Chen, Lucas Pereira Lopes +2
Understanding customer behavior is fundamental for many use-cases in industry, especially in accelerated growth areas such as fin-tech and e-commerce. Structured data are often exp…
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding
Dehua Chen, Amir Jalilifard, Adriano Veloso +1
A pharmacological effect of a drug on cells, organs and systems refers to the specific biochemical interaction produced by a drug substance, which is called its mechanism of action…
Semantic Sensitive TF-IDF to Determine Word Relevance in Documents
Amir Jalilifard, Vinicius F. Caridá, Alex F. Mansano +2
Keyword extraction has received an increasing attention as an important research topic which can lead to have advancements in diverse applications such as document context categori…
Can NetGAN be improved on short random walks?
Amir Jalilifard, Vinicius Caridá, Alex Mansano +1
Graphs are useful structures that can model several important real-world problems. Recently, learning graphs have drawn considerable attention, leading to the proposal of new metho…