activity
20242026
most citedAutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents

14 citations · 14 across the 7 of their papers we have counts for

collaborators

7 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

Build, Judge, Optimize: A Blueprint for Continuous Improvement of Multi-Agent Consumer Assistants

Alejandro Breen Herrera, Aayush Sheth, Steven G. Xu +8

Conversational shopping assistants (CSAs) represent a compelling application of agentic AI, but moving from prototype to production reveals two underexplored challenges: how to eva…

cs.AI2026

Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Work

Zihao Wu, Steven Xu, Bowen Chen +8

With the emergence of large language models (LLMs) and AI agent frameworks, the human-AI co-work paradigm known as Vibe Coding is changing how people code, making it more accessibl…

cs.CL2025

Large language models management of medications: three performance analyses

Kelli Henry, Steven Xu, Kaitlin Blotske +11

Purpose: Large language models (LLMs) have proven performance for certain diagnostic tasks, however limited studies have evaluated their consistency in recommending appropriate med…

cs.RO2024★ 14 cited

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents

Michael Ahn, Debidatta Dwibedi, Chelsea Finn +24

Foundation models that incorporate language, vision, and more recently actions have revolutionized the ability to harness internet scale data to reason about useful tasks. However,…