Papers by Anastasios Drosou
Retrieval Augmented Generation based context discovery for ASR (2025.findings-emnlp)
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Siskos Dimitrios, Stavros Papadopoulos, Pablo Peso Parada, Jisi Zhang, Karthikeyan Saravanan, Anastasios Drosou
| Challenge: | Existing strategies for automatic context discovery remain a challenge . embedding-based retrieval reduces WER by up to 17% relative to using no-context . |
| Approach: | They propose an embedding-based retrieval approach for automatic context discovery . they propose two alternatives based on large language models to contextualize their effectiveness . |
| Outcome: | The proposed method reduces WER by up to 17% relative to using no-context . |
On-device System of Compositional Multi-tasking in Large Language Models (2025.emnlp-industry)
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Ondrej Bohdal, Konstantinos Theodosiadis, Asterios Mpatziakas, Dimitrios Filippidis, Iro Spyrou, Christos Zonios, Anastasios Drosou, Dimosthenis Ioannidis, Kyenghun Lee, Jijoong Moon, Hyeonmok Ko, Mete Ozay, Umberto Michieli
| Challenge: | Existing approaches to generative AI for large language models struggle when executing complex tasks simultaneously. |
| Approach: | They propose a novel approach tailored specifically for compositional multi-tasking scenarios . they add a learnable projection layer on top of the combined summarization and translation adapters. |
| Outcome: | The proposed approach performs well and is fast in both cloud-based and on-device implementations. |