Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking
Paper • 2405.07920 • Published • 3
This model was introduced in the paper Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-Ranking.
For code, examples and more, please visit https://github.com/webis-de/msmarco-llm-distillation.
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