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Slack, Dylan

  1. A Careful Examination of Large Language Model Performance on Grade School Arithmetic
    2024/05/01 by Hugh Zhang, Zhang, Hugh, Jeff Da +31 · 4 voices · 30 citations
    Mathematics · Social Sciences · #Cognitive and developmental aspects of mathematical skills #Educational Assessment and Pedagogy #Mathematics Education and Teaching Techniques #cs.AI #cs.CL #cs.LG
  2. Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation\n Methods
    2019/11/06 by Dylan Slack, Sophie Hilgard, Slack, Dylan +7 · 39 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
    2020/08/11 by Dylan Slack, Sophie Hilgard, Slack, Dylan +5 · 14 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Adversarial Robustness in Machine Learning
  4. Counterfactual Explanations Can Be Manipulated
    2021/06/04 by Dylan Slack, Slack, Dylan, Sophie Hilgard +5 · 7 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
  5. TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
    2022/07/08 by Dylan Slack, Slack, Dylan, Satyapriya Krishna +5 · 8 citations
    Computer Science · Medicine · #Explainable Artificial Intelligence (XAI) #Artificial Intelligence in Healthcare and Education #Topic Modeling
  6. Post Hoc Explanations of Language Models Can Improve Language Models
    2023/05/19 by Krishna, Satyapriya, Ma, Jiaqi, Slack, Dylan +3 · 9 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  7. Assessing the Local Interpretability of Machine Learning Models
    2019/02/09 by Slack, Dylan, Friedler, Sorelle A., Scheidegger, Carlos +1 · 3 citations
    #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. TABLET: Learning From Instructions For Tabular Data
    2023/04/25 by Dylan Slack, Slack, Dylan, Sameer Singh +1 · 5 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Rethinking Explainability as a Dialogue: A Practitioner's Perspective
    2022/02/03 by Himabindu Lakkaraju, Lakkaraju, Himabindu, Dylan Slack +7 · 4 citations
    Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  10. Differentially Private Language Models Benefit from Public Pre-training
    2020/09/13 by Kerrigan, Gavin, Slack, Dylan, Tuyls, Jens · 3 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Towards physician-centered oversight of conversational diagnostic AI
    2025/07/21 by Vedadi, Elahe, Barrett, David, Harris, Natalie +32 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)