activity
20242026
most citedShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents

1 citations · 1 across the 6 of their papers we have counts for

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cs.AI2026

ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation

Jiangyuan Wang, Kejun Xiao, Huaipeng Zhao +2

Large Language Model (LLM)-based agents show promise for e-commerce conversational shopping, yet existing implementations lack the interaction depth and contextual breadth required…