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.
Medusa: Simple llm inference acceleration framework with multiple decoding heads
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
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.