3 papers
cs.IR2026
Improving the Efficiency and Effectiveness of LLM Knowledge Distillation for Conversational Search
Stan Fris, Jan Hutter, Jan Henrik Bertrand +2
Conversational Search (CS) considers retrieval of relevant documents based on conversational context. Large Language Models (LLMs) have significantly enhanced CS by enabling effect…
cs.IR2025
A Systematic Reproducibility Study of BSARec for Sequential Recommendation
Jan Hutter, Hua Chang Bakker, Stan Fris +2
In sequential recommendation (SR), the self-attention mechanism of Transformer-based models acts as a low-pass filter, limiting their ability to capture high-frequency signals that…
cs.CV2025
On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning''
Hua Chang Bakker, Stan Fris, Angela Madelon Bernardy +1
We investigated the reproducibility of FairCLIP, proposed by Luo et al. (2024), for improving the group fairness of CLIP (Radford et al., 2021) by minimizing image-text similarity…