2 citations · 3 across the 4 of their papers we have counts for
5 papers
No More, No Less: Least-Privilege Language Models
Paulius Rauba, Dominykas Seputis, Patrikas Vanagas +1
Least privilege is a core security principle: grant each request only the minimum access needed to achieve its goal. Deployed language models almost never follow it, instead being…
Equity by Design? On the Trade-Offs in Fairness-Driven Recommendation in Heterogeneous Two-Sided Markets
Dominykas Seputis, Alexander Timans, Rajeev Verma
Two-sided marketplaces embody heterogeneity in incentives: producers seek exposure while consumers seek relevance, and balancing these competing objectives through constrained opti…
Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text"
Dominykas Seputis, Yongkang Li, Karsten Langerak +1
Text embeddings are fundamental to many natural language processing (NLP) tasks, extensively applied in domains such as recommendation systems and information retrieval (IR). Tradi…
Multi-Modal Adapter for Vision-Language Models
Dominykas Seputis, Serghei Mihailov, Soham Chatterjee +1
Large pre-trained vision-language models, such as CLIP, have demonstrated state-of-the-art performance across a wide range of image classification tasks, without requiring retraini…
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data
Dominykas Šeputis, Jevgenij Gamper, Remigijus Paulavičius
In this work, we identify open research opportunities in applying Neural Temporal Point Process (NTPP) models to industry scale customer behavior data by carefully reproducing NTPP…