Problem
Research questions and friction points this paper is trying to address.
E-commerce
Open-Weight Agents
Task-Success Rate
Conversation Evaluation
Environment-Grounded Verification
Evaluating Open-Weight E-Commerce Agents with Environment-Grounded Verification
🤖 AI Summary
研究构建了一个可验证的电商环境，通过模拟消费者购物来评估AI助手性能，并根据具体行为给予不同惩罚，以解决传统成功率评分无法区分多种问题的情况。
📝 Abstract
A shopping conversation has many routes to the same cart, and a task-success rate reduces all of them to one score. We build a deterministic and reproducible e-commerce environment that precommits each trial's customer and trajectory parameters, including the persona, difficulty, target cart, and an item reveal schedule. A simulated consumer attempts to buy a target cart from the environment with assistance from the evaluated model. The environment guides the simulator's actions and records every assistant action alongside the environment state at that point. After the trial, these records allow the evaluator to assess individual parts of the conversation against the retained evidence. For example, the evaluator penalizes a search for failing to surface a target product only when the customer has already mentioned that product. We further use this evidence to apply different penalties to tool calls depending on how the assistant's actions compare with an expected tool-call set. Our environment also interacts with the simulator bidirectionally, reading its output to stop the trial when the simulator determines that the customer has become too frustrated and injecting directives in real time that specify when to explore, defer buying an item, or recall a previous exchange. This interaction creates an open-ended and verifiable simulation. Across eight open-weight agents from 20B to 35B parameters, with 160 trials per agent and 44 metrics, the resulting capability profiles distinguish under-action, over-purchase, unsupported product attributes, and poor search, all of which terminal success obscures.
Innovation
Methods, ideas, or system contributions that make the work stand out.
deterministic and reproducible e-commerce environment
bidirectional interaction
conversation assessment
penalty application
open-ended and verifiable simulation
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