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pro vyhledávání: '"Uprety, Sagar"'
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 deploy agents in real-world scenarios, which make decisions and take a
Externí odkaz:
http://arxiv.org/abs/2408.10711
Publikováno v:
In Pattern Recognition Letters April 2024 180:33-40
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. Such a framework has been shown capable of unifying the representation,
Externí odkaz:
http://arxiv.org/abs/2007.04357
Autor:
Uprety, Sagar, Tiwari, Prayag, Dehdashti, Shahram, Fell, Lauren, Song, Dawei, Bruza, Peter, Melucci, Massimo
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. The field of Quantum Cognition provides an alternative probabilistic mod
Externí odkaz:
http://arxiv.org/abs/2001.07075
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 models of relevance allude to interdependence between these dimensions,
Externí odkaz:
http://arxiv.org/abs/1907.10943
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 trust, user interest, etc. Recent works have identified these various fact
Externí odkaz:
http://arxiv.org/abs/1811.06645
Correlation has been widely used to facilitate various information retrieval methods such as query expansion, relevance feedback, document clustering, and multi-modal fusion. Especially, correlation and independence are important issues when fusing d
Externí odkaz:
http://arxiv.org/abs/1810.11303
Autor:
Uprety, Sagar, Song, Dawei
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 a modeling framework which can enable intelligent systems to detect an
Externí odkaz:
http://arxiv.org/abs/1808.04600
Autor:
Uprety, Sagar, Song, Dawei
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 sequential decision making have been quantitatively detected and studied in
Externí odkaz:
http://arxiv.org/abs/1807.05355
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 assign high probabilities to the words "Penguin" and "Fly" if they fr
Externí odkaz:
http://arxiv.org/abs/1805.11351