Papers by Emmanouil Stergiadis

2 papers
HotelMatch-LLM: Joint Multi-Task Training of Small and Large Language Models for Efficient Multimodal Hotel Retrieval (2025.acl-long)

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Challenge: a novel multimodal dense retrieval model for the travel domain addresses limitations of traditional search engines.
Approach: They propose a multimodal dense retrieval model that enables natural language property search . they propose combining a small language model and a large language model for embedding hotel data .
Outcome: The proposed model outperforms state-of-the-art models on four diverse test sets . it is generalizable across LLM architectures and scalability for processing large image galleries .
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications (2025.acl-industry)

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Challenge: Rapid growth of digital applications has intensified the demand for real-time natural language processing (NLP) capabilities.
Approach: They propose a framework that combines Medusa and knowledge distillation to achieve compounded benefits in both model size and inference speed.
Outcome: The proposed framework reduces inference latency by 10-20x while maintaining the student model’s performance quality.

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