1 citations · 2 across the 3 of their papers we have counts for
3 papers
ICLERB: In-Context Learning Embedding and Reranker Benchmark
Marie Al Ghossein, Emile Contal, Alexandre Robicquet
In-Context Learning (ICL) enables Large Language Models (LLMs) to perform new tasks by conditioning on prompts with relevant information. Retrieval-Augmented Generation (RAG) enhan…
Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product Search
Marie Al Ghossein, Ching-Wei Chen, Jason Tang
Recent advances in the fields of Information Retrieval and Machine Learning have focused on improving the performance of search engines to enhance the user experience, especially i…
Captions Are Worth a Thousand Words: Enhancing Product Retrieval with Pretrained Image-to-Text Models
Jason Tang, Garrin McGoldrick, Marie Al-Ghossein +1
This paper explores the usage of multimodal image-to-text models to enhance text-based item retrieval. We propose utilizing pre-trained image captioning and tagging models, such as…