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Document Valuation in LLM Summaries: A Cluster Shapley Approach

Document Valuation in LLM Summaries: A Cluster Shapley Approach

Published 1 year, 5 months ago
Description

  • The paper addresses document valuation in LLM-generated summaries using Shapley values
  • It introduces the Cluster Shapley algorithm to enhance efficiency and reduce costs 
  • The approach clusters similar documents, maintaining high attribution accuracy 
  • The algorithm achieves up to 40% reduction in computation time 

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