4 citations · 10 across the 20 of their papers we have counts for
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Incorporating Structure and Chord Constraints in Symbolic Transformer-based Melodic Harmonization
Maximos Kaliakatsos-Papakostas, Konstantinos Soiledis, Theodoros Tsamis +3
Transformer architectures offer significant advantages regarding the generation of symbolic music; their capabilities for incorporating user preferences toward what they generate i…
Exposing Hidden Biases in Text-to-Image Models via Automated Prompt Search
Manos Plitsis, Giorgos Bouritsas, Vassilis Katsouros +1
Text-to-image (TTI) diffusion models have achieved remarkable visual quality, yet they have been repeatedly shown to exhibit social biases across sensitive attributes such as gende…
A Machine Learning Approach for MIDI to Guitar Tablature Conversion
Maximos Kaliakatsos-Papakostas, Gregoris Bastas, Dimos Makris +3
Guitar tablature transcription consists in deducing the string and the fret number on which each note should be played to reproduce the actual musical part. This assignment should…
VOX-KRIKRI: Unifying Speech and Language through Continuous Fusion
Dimitrios Damianos, Leon Voukoutis, Georgios Paraskevopoulos +1
We present a multimodal fusion framework that bridges pre-trained decoder-based large language models (LLM) and acoustic encoder-decoder architectures such as Whisper, with the aim…
MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic Conditions
Georgios Chatzichristodoulou, Despoina Kosmopoulou, Antonios Kritikos +5
SER is a challenging task due to the subjective nature of human emotions and their uneven representation under naturalistic conditions. We propose MEDUSA, a multimodal framework wi…
Krikri: Advancing Open Large Language Models for Greek
Dimitris Roussis, Leon Voukoutis, Georgios Paraskevopoulos +6
We introduce Llama-Krikri-8B, a cutting-edge Large Language Model tailored for the Greek language, built on Meta's Llama 3.1-8B. Llama-Krikri-8B has been extensively trained on hig…
DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis
Efthymios Georgiou, Vassilis Katsouros, Yannis Avrithis +1
While multimodal fusion has been extensively studied in Multimodal Sentiment Analysis (MSA), the role of fusion depth and multimodal capacity allocation remains underexplored. In t…