Papers by Georgios Paraskevopoulos
Multimodal and Multiresolution Speech Recognition with Transformers (2020.acl-main)
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| Challenge: | Existing audio visual automatic speech recognition systems rely on audio input to produce transcriptions. |
| Approach: | They propose an audio visual automatic speech recognition system using a transformer-based architecture and incorporate a multitask training criterion for multiresolution ASR. |
| Outcome: | The proposed system can generate character and subword transcriptions with visual information. |
UDALM: Unsupervised Domain Adaptation through Language Modeling (2021.naacl-main)
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| Challenge: | Existing techniques for unsupervised domain adaptation (UDA) are limited by domain shift, which leads to performance degradation. |
| Approach: | They propose a fine-tuning procedure that uses a mixed classification and Masked Language Model loss to adapt to the target domain distribution in a robust and sample efficient manner. |
| Outcome: | The proposed procedure can adapt to the target domain distribution in a robust and sample efficient manner. |
Krikri: Advancing Open Large Language Models for Greek (2025.findings-emnlp)
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Dimitris Roussis, Leon Voukoutis, Georgios Paraskevopoulos, Sokratis Sofianopoulos, Prokopis Prokopidis, Vassilis Papavassileiou, Athanasios Katsamanis, Stelios Piperidis, Vassilis Katsouros
| Challenge: | Llama-Krikri-8B is a cutting-edge Large Language Model for the Greek language based on Meta's Llma 3.1-8B. |
| Approach: | They propose to use Llama-Krikri-8B to train Greek language models . it has 8 billion parameters and is capable of handling polytonic text and Ancient Greek . |
| Outcome: | The proposed model is based on Meta's Llama 3.1-8B and has 8 billion parameters and is capable of handling polytonic text and Ancient Greek. |