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cs.IR2026
VCG: A Multimodal Retrieval Framework for E-Commerce Video Feeds under Extreme Cold-Start Conditions
Katya Mirylenka, Egor Malykh, Mahdyar Ravanbakhsh +10
The digital commerce landscape is shifting from static, search-driven catalogs to dynamic, immersive video feeds. This transition introduces an ``extreme cold-start'' problem: unli…
cs.IR2024
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…
cs.IR2024
What should I wear to a party in a Greek taverna? Evaluation for Conversational Agents in the Fashion Domain
Antonis Maronikolakis, Ana Peleteiro Ramallo, Weiwei Cheng +1
Large language models (LLMs) are poised to revolutionize the domain of online fashion retail, enhancing customer experience and discovery of fashion online. LLM-powered conversatio…