collaborators

5 papers

cs.AI2026

Retrieve, Match, Escalate: Accurate and Scalable Product Linking with VLM-Distilled Cross-Encoders and Agentic VLMs

Jian Wang, Steven Xu, Sanjyot Thete +5

Product linking, the entity-resolution task of mapping merchant product records to canonical catalog products, consolidates fragmented listings so downstream search, recommendation…

cs.AI2026

TRACE: Agentic Catalog Enrichment with Multi-source Evidence Grounding

Rohan Kumar, Steven Xu, Kyle MacDonald +4

Product catalogs underpin search, discovery, and recommendation in e-commerce, yet they are often attribute-sparse: the attributes shoppers and downstream systems rely on are eithe…

cs.IR2026

One Hierarchy, Two Systems: Semantic Product IDs for Discovery-Surface Ranking and Search-Page Query Reformulation

Steven Xu, Sanjyot Thete, Saathvik Dirisala +7

Multi-merchant e-commerce catalogs contain equivalent and related products under different merchant-scoped identifiers, fragmenting behavioral evidence across merchants. Expert-def…

cs.AI2026

Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents

Emmanuel Aboah Boateng, Kyle MacDonald, Amardeep Kumar +2

Production LLM agents increasingly depend on real-time search, yet native search grounding bundles retrieval policy, provider choice, evidence injection, cost, latency, and generat…

cs.AI2026

Agentic Multi-Source Grounding for Enhanced Query Intent Understanding: A DoorDash Case Study

Emmanuel Aboah Boateng, Kyle MacDonald, Akshad Viswanathan +1

Accurately mapping user queries to business categories is a fundamental Information Retrieval challenge for multi-category marketplaces, where context-sparse queries such as "Wildf…