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RPCBench: A Benchmark for Proactive Premise Critique in LLM-based Recommendation
Large language models are increasingly used as interactive recommender assistants. Their evaluation should therefore go beyond plausible item recommendation and test whether they can recognize flawed recommendation requests. Existing recommender benchmarks mainly assess ranking, generation, or prefe
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