7 citations · 16 across the 10 of their papers we have counts for
10 papers
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
Dimitris Gkoumas, Maria Liakata
Scientific language models drive research innovation but require extensive fine-tuning on large datasets. This work enhances such models by improving their inference and evaluation…
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation
Dimitris Gkoumas
The field of chemistry and Artificial Intelligence (AI) intersection is an area of active research that aims to accelerate scientific discovery. The integration of large language m…
Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia
Dimitris Gkoumas, Matthew Purver, Maria Liakata
Dementia is associated with language disorders which impede communication. Here, we automatically learn linguistic disorder patterns by making use of a moderately-sized pre-trained…
A Digital Language Coherence Marker for Monitoring Dementia
Dimitris Gkoumas, Adam Tsakalidis, Maria Liakata
The use of spontaneous language to derive appropriate digital markers has become an emergent, promising and non-intrusive method to diagnose and monitor dementia. Here we propose m…
A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis
Dimitris Gkoumas, Bo Wang, Adam Tsakalidis +4
Dementia affects cognitive functions of adults, including memory, language, and behaviour. Standard diagnostic biomarkers such as MRI are costly, whilst neuropsychological tests su…
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti +3
Video sentiment analysis as a decision-making process is inherently complex, involving the fusion of decisions from multiple modalities and the so-caused cognitive biases. Inspired…
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…
Exploiting "Quantum-like Interference" in Decision Fusion for Ranking Multimodal Documents
Dimitris Gkoumas, Dawei Sogn
Fusing and ranking multimodal information remains always a challenging task. A robust decision-level fusion method should not only be dynamically adaptive for assigning weights to…
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…