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T05. Human review and approval workflows

Human-in-the-loop and approval research, including automation-induced complacency.

  1. T05-4Structural parallel

    A Model for Types and Levels of Human Interaction with Automation

    Authors
    Raja Parasuraman, Thomas B. Sheridan, Christopher D. Wickens
    Year
    2000
    Venue
    IEEE Transactions on Systems, Man, and Cybernetics Part A vol. 30 no. 3 286-297

    Korean review of T05-4

  2. T05-6Structural parallel

    On Optimum Recognition Error and Reject Tradeoff

    Authors
    C. K. Chow
    Year
    1970
    Venue
    IEEE Transactions on Information Theory vol. 16 no. 1 41-46

    Korean review of T05-6

  3. T05-7Structural parallel

    Learning with Rejection

    Authors
    Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
    Year
    2016
    Venue
    Algorithmic Learning Theory (ALT) 2016, Springer LNCS 67-82

    Korean review of T05-7

  4. T05-8Structural parallel

    Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer

    Authors
    David Madras, Toniann Pitassi, Richard Zemel
    Year
    2018
    Venue
    NeurIPS 2018

    Korean review of T05-8

  5. T05-9Structural parallel

    SelectiveNet: A Deep Neural Network with an Integrated Reject Option

    Authors
    Yonatan Geifman, Ran El-Yaniv
    Year
    2019
    Venue
    ICML 2019

    Korean review of T05-9

  6. T05-10Structural parallel

    Consistent Estimators for Learning to Defer to an Expert

    Authors
    Hussein Mozannar, David Sontag
    Year
    2020
    Venue
    ICML 2020

    Korean review of T05-10

  7. T05-11Structural parallel

    Learning to Complement Humans

    Authors
    Bryan Wilder, Eric Horvitz, Ece Kamar
    Year
    2020
    Venue
    IJCAI 2020

    Korean review of T05-11

  8. T05-12Structural parallel

    Machine Learning with a Reject Option: A survey

    Authors
    Kilian Hendrickx, Lorenzo Perini, Dries Van der Plas, Wannes Meert, Jesse Davis
    Year
    2024
    Venue
    Machine Learning (Springer) 113 3073-3110

    Korean review of T05-12

  9. T05-19Structural parallel

    Identifying the Risks of LM Agents with an LM-Emulated Sandbox (ToolEmu)

    Authors
    Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
    Year
    2024
    Venue
    ICLR 2024

    Korean review of T05-19

  10. T05-20Structural parallel

    AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents

    Authors
    Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, Florian Tramer
    Year
    2024
    Venue
    NeurIPS 2024 Datasets and Benchmarks

    Korean review of T05-20

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