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Chemical Semantics (United States)

United States

2 papers here1 citations across 2
fields
  • cs.CL1
  • cs.PL1
ROR 04qca6973OpenAlex

affiliations via OpenAlex

most citedToken-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models

1 citations

researchers with a paper here
  • Alexander Panchenko1 · h 7
  • Artem Shelmanov1 · h 4
  • Artem Vazhentsev1 · h 9
  • B. T. Widemann1 · h 9
  • Ivan Lazichny1 · h 5
  • L. Rvanova1 · h 3
  • Maxim Panov1 · h 8
  • M. Lepper1 · h 6
  • Timothy Baldwin1 · h 7
collaborating institutions
  • Brandenburg University of Applied SciencesDE1 paper
  • Institute for Systems AnalysisRU1 paper
  • Nvidia (United Kingdom)GB1 paper
  • The University of MelbourneAU1 paper
Showing cs.CLShow all

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cs.CL2025★ 1 cited

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models

Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny +4

Uncertainty quantification (UQ) is a prominent approach for eliciting truthful answers from large language models (LLMs). To date, information-based and consistency-based UQ have b…

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