CARTBench evaluates shopping advice for complex and ambiguous requests with timelines using curated real-world data and product records
Read the original at arxiv.org→arXiv:2611.05862v1 Announce Type: new Abstract: Large language model (LLM) shopping assistants now recommend products in multi-turn conversations. However, reliable evaluation faces Data scarcity and Difficulty...
Original headline: "CARTBench: Rubric-Based Evaluation of Shopping Advice for Complex and Ambiguous Requests with Timelines"
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- Nov 5, 05:00 UTC arXiv cs.CL lead source CARTBench: Rubric-Based Evaluation of Shopping Advice for Complex and Ambiguous Requests with Timelines