WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Source

• Person key: ysymyth
• Source kind: paper
• Canonical URL: https://arxiv.org/abs/2207.01206
• License: NOASSERTION
• Public handling: public-metadata-summary-hash-link-only
• Semantic hash: f81ba17f07d6cf167f4f2d938e6ed3b0d398161fc9fcde167c1d0321b9bd272f
• First seen: 2026-05-16
• Last changed: 2026-05-16
• Identity guard: Do not confuse with yao-shunyu-alfred, the physics-to-AI researcher at alfredyao.github.io.

Classification

• Category: Language agents / agent architectures
• Topic hub: shunyu-yao-public-corpora
• Project taxonomy: shunyu-yao-project-taxonomy
• Paper map: shunyu-yao-paper-map

Summary

Existing benchmarks for grounding language in interactive environments either lack real-world linguistic elements, or prove difficult to scale up due to substantial human involvement in the collection of data or feedback signals. To bridge this gap, we develop WebShop — a simulated e-commerce website environment with $1.18$ million real-world products and $12,087$ crowd-sourced text instructions. Given a text instruction specifying a product requirement, an agent needs to navigate multiple types of webpages and is…

What This Teaches

How language models become agents through reasoning, acting, memory, tools, and interface design.

Related

• shunyu-yao-public-corpora
• 2026-05-16-yao-shunyu-public-corpora

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