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New benchmark evaluates LLM shopping assistants on complex, ambiguous requests

This story is from 2026-11-06. It is preserved in the archive; the latest stories are on the live feed.

Researchers introduced CARTBench, a rubric-based benchmark for evaluating LLM shopping assistants that recommend products in multi-turn conversations, addressing data scarcity and complex or ambiguous requests with timelines.

Read the full story at arXiv cs.CL ↗

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  1. 2026-11-06 05:00 · arXiv cs.CL
    CARTBench: Rubric-Based Evaluation of Shopping Advice for Complex and Ambiguous Requests with Timelines

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