RSD uses reinforcement learning to train an agent that iteratively modifies an LLM's ranking under a fixed call budget, outperforming single-token and speculative-decoding baselines on IR and RS datasets.
Learning to rank using gradient descent
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Reinforcement Speculative Decoding for Fast Ranking
RSD uses reinforcement learning to train an agent that iteratively modifies an LLM's ranking under a fixed call budget, outperforming single-token and speculative-decoding baselines on IR and RS datasets.