4 papers
Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces
Dulmini Hettiarachchi, Andre Rusli, Julio Christian Young +1
We present a framework that gives LLM agents two mechanisms for searching large solution spaces autonomously. First, a leaderboard scored on held-out data acts as a reward signal t…
Towards Better Search with Domain-Aware Text Embeddings for C2C Marketplaces
Andre Rusli, Miao Cao, Shoma Ishimoto +2
Consumer-to-consumer (C2C) marketplaces pose distinct retrieval challenges: short, ambiguous queries; noisy, user-generated listings; and strict production constraints. This paper…
Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models
Yuki Yada, Sho Akiyama, Ryo Watanabe +3
On large-scale e-commerce platforms with tens of millions of active monthly users, recommending visually similar products is essential for enabling users to efficiently discover it…
Zero-Shot Retrieval for Scalable Visual Search in a Two-Sided Marketplace
Andre Rusli, Shoma Ishimoto, Sho Akiyama +1
Visual search offers an intuitive way for customers to explore diverse product catalogs, particularly in consumer-to-consumer (C2C) marketplaces where listings are often unstructur…