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RankSteer: Can Pointwise LLM Rankers Be Calibrated at the Representation Level?

Wang, Yumeng et al.
arXiv (All) · Papers
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information-retrieval
Large language models (LLMs) are strong zero-shot pointwise rankers, but lag behind pairwise and listwise methods. Beyond missing comparative signals, we identify a \textit{calibration gap}: ranking-relevant information encoded in hidden states is not fully captured by the scalar output head. We pro
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