ranking 1st among all models on the leaderboard. Our smaller model, with 0.5B parameters, score... serving both to pool over the input sequence and to provide support for flexible embedding dimens...
we propose \textit{Activation Ranking Correlation} (ARC), which measures the relevance of contextual tokens to the current token via alignment of their top-$k$ prediction rankings. ARC leverages this...
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to previous state-of-the-art methods. Additionally, we explore an efficient inference strategy based on single-model sampling and provide an initial investigation into multi-candidate re-ranking (MCR). ...