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Jan Trienes

  1. From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
    2023/02/24 by Meike Nauta, Jan Trienes, Shreyasi Pathak +6 · 68 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
  2. InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
    2024/01/29 by Jan Trienes, Sebastian Joseph, Trienes, Jan +13 · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  3. FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
    2024/02/18 by Sebastian Joseph, Lily Chen, Joseph, Sebastian Antony +13 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Topic Modeling
  4. Behavioral Analysis of Information Salience in Large Language Models
    2025/02/20 by Jan Trienes, Trienes, Jan, Jörg Schlötterer +5 · 1 voice · 5 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling #cs.CL
  5. Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
    2020/01/16 by Jan Trienes, Trienes, Jan, Dolf Trieschnigg +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling