A reimplementation of RecRanker shows its pointwise variant's high top-k scores come from ground-truth data leakage in the prompts, and the new RecRankerEval framework finds listwise tuning, DBSCAN sampling, XSimGCL, and Llama3 improve results once the leak is fixed.
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RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation
A reimplementation of RecRanker shows its pointwise variant's high top-k scores come from ground-truth data leakage in the prompts, and the new RecRankerEval framework finds listwise tuning, DBSCAN sampling, XSimGCL, and Llama3 improve results once the leak is fixed.