76 citations · 205 across the 9 of their papers we have counts for
10 papers
GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval
Iain Mackie, Ivan Sekulic, Shubham Chatterjee +2
Recent studies show that Generative Relevance Feedback (GRF), using text generated by Large Language Models (LLMs), can enhance the effectiveness of query expansion. However, LLMs…
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond
Paul Owoicho, Ivan Sekulić, Mohammad Aliannejadi +2
This research aims to explore various methods for assessing user feedback in mixed-initiative conversational search (CS) systems. While CS systems enjoy profuse advancements across…
Evaluating Mixed-initiative Conversational Search Systems via User Simulation
Ivan Sekulić, Mohammad Aliannejadi, Fabio Crestani
Clarifying the underlying user information need by asking clarifying questions is an important feature of modern conversational search system. However, evaluation of such systems t…
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
Xu Wang, Shuai Zhao, Bo Cheng +5
Question Answering (QA) models over Knowledge Bases (KBs) are capable of providing more precise answers by utilizing relation information among entities. Although effective, most o…
-matrix method for calculation of second-harmonic generation in clusters of spherical particles
Ivan Sekulic, Jian Wei You, Nicolae C. Panoiu
In this article, we present a -matrix method for numerical computation of second-harmonic generation from clusters of arbitrarily distributed spherical particles made of centros…
User Engagement Prediction for Clarification in Search
Ivan Sekulić, Mohammad Aliannejadi, Fabio Crestani
Clarification is increasingly becoming a vital factor in various topics of information retrieval, such as conversational search and modern Web search engines. Prompting the user fo…
Longformer for MS MARCO Document Re-ranking Task
Ivan Sekulić, Amir Soleimani, Mohammad Aliannejadi +1
Two step document ranking, where the initial retrieval is done by a classical information retrieval method, followed by neural re-ranking model, is the new standard. The best perfo…
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Guoshun Nan, Zhijiang Guo, Ivan Sekulić +1
Document-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence ent…
Adapting Deep Learning Methods for Mental Health Prediction on Social Media
Ivan Sekulić, Michael Strube
Mental health poses a significant challenge for an individual's well-being. Text analysis of rich resources, like social media, can contribute to deeper understanding of illnesses…
Not Just Depressed: Bipolar Disorder Prediction on Reddit
Ivan Sekulić, Matej Gjurković, Jan Šnajder
Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide. We present a preliminary study on bipolar disorder predi…