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20212026
most citedMMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis

2 citations · 6 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Attention-Aware Routing: Coupling Routing and Attention in MoEs

Despoina Kosmopoulou, Anastasios Tsetsilas, Efthymios Georgiou +3

In Mixture-of-Experts language models, the router typically selects and weights experts based on the token's hidden state, utilizing limited contextual information. We propose Atte…

cs.CL2026

The Illusion of Balanced Multimodal Sentiment Analysis: Beyond the Limits of Optimization-Based Methods

Ioanna Kaffeza, Efthymios Georgiou, Alexandros Potamianos

Multimodal Sentiment Analysis (MSA) remains constrained by modality imbalance, yet the field continues to rely on optimization-based balancing methods that promise more than they d…

cs.SD2026

Deterministic Prompting for Speaker-Stable Low-Resource Greek TTS

Georgios Syllas, Efthymios Georgiou, Kosmas Kritsis +1

Modern TTS systems approach human quality for high-resource languages but degrade when clean speech data is scarce. Modern Greek exemplifies this, lacking the curated corpora behin…

cs.CL2026

Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis

Alexios Filippakopoulos, Elias Kallioras, Nikolaos Xiros +2

Multimodal fusion must simultaneously refine modality-specific signals and model cross-modal interactions; two competing objectives typically entangled within the same operation. W…

eess.IV2026

A Benchmark of (MRI-) Foundation Models to Predict IDH Mutational Status in Glioma

Nathan Hollet, Elise Robinson, Efthymios Georgiou +3

Non-invasive prediction of glioma molecular status from routine magnetic resonance imaging (MRI) has shown promising performance, but model generalization remains challenging given…