2 citations · 3 across the 4 of their papers we have counts for
5 papers
Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation
Kasra Hosseini, Thomas Kober, Josip Krapac +3
Evaluating production-level retrieval systems at scale is a crucial yet challenging task due to the limited availability of a large pool of well-trained human annotators. Large Lan…
Task-Specific Embeddings for Ante-Hoc Explainable Text Classification
Kishaloy Halder, Josip Krapac, Alan Akbik +2
Current state-of-the-art approaches to text classification typically leverage BERT-style Transformer models with a softmax classifier, jointly fine-tuned to predict class labels of…
Enhancing Product Safety in E-Commerce with NLP
Kishaloy Halder, Josip Krapac, Dmitry Goryunov +6
Ensuring safety of the products offered to the customers is of paramount importance to any e- commerce platform. Despite stringent quality and safety checking of products listed on…
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images
Ivan Krešo, Josip Krapac, Siniša Šegvić
Recent progress of deep image classification models has provided great potential to improve state-of-the-art performance in related computer vision tasks. However, the transition t…
Read classification using semi-supervised deep learning
Tomislav Šebrek, Jan Tomljanović, Josip Krapac +1
In this paper, we propose a semi-supervised deep learning method for detecting the specific types of reads that impede the de novo genome assembly process. Instead of dealing direc…