14 citations · 37 across the 9 of their papers we have counts for
10 papers
Investigating Context Effects in Similarity Judgements in Large Language Models
Sagar Uprety, Amit Kumar Jaiswal, Haiming Liu +1
Large Language Models (LLMs) have revolutionised the capability of AI models in comprehending and generating natural language text. They are increasingly being used to empower and…
A Survey of Quantum Theory Inspired Approaches to Information Retrieval
Sagar Uprety, Dimitris Gkoumas, Dawei Song
Since 2004, researchers have been using the mathematical framework of Quantum Theory (QT) in Information Retrieval (IR). QT offers a generalized probability and logic framework. Su…
Quantum-like Structure in Multidimensional Relevance Judgements
Sagar Uprety, Prayag Tiwari, Shahram Dehdashti +4
A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. Th…
Modelling Dynamic Interactions between Relevance Dimensions
Sagar Uprety, Shahram Dehdashti, Lauren Fell +2
Relevance is an underlying concept in the field of Information Science and Retrieval. It is a cognitive notion consisting of several different criteria or dimensions. Theoretical m…
Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval
Sagar Uprety, Dimitris Gkoumas, Dawei Song
Relevance judgment in Information Retrieval is influenced by multiple factors. These include not only the topicality of the documents but also other user oriented factors like trus…
Investigating non-classical correlations between decision fused multi-modal documents
Dimitris Gkoumas, Sagar Uprety, Dawei Song
Correlation has been widely used to facilitate various information retrieval methods such as query expansion, relevance feedback, document clustering, and multi-modal fusion. Espec…
Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach
Sagar Uprety, Dawei Song
There are many examples of human decision making which cannot be modeled by classical probabilistic and logic models, on which the current AI systems are based. Hence the need for…
Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs
Sagar Uprety, Dawei Song
There is a growing body of research which has investigated relevance judgment in IR being influenced by multiple factors or dimensions. At the same time, the Order Effects in seque…
Quantum-inspired Complex Word Embedding
Qiuchi Li, Sagar Uprety, Benyou Wang +1
A challenging task for word embeddings is to capture the emergent meaning or polarity of a combination of individual words. For example, existing approaches in word embeddings will…
Modeling Multidimensional User Relevance in IR using Vector Spaces
Sagar Uprety, Yi Su, Dawei Song +1
It has been shown that relevance judgment of documents is influenced by multiple factors beyond topicality. Some multidimensional user relevance models (MURM) proposed in literatur…