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TMLR Group

Trustworthy Machine Learning and Reasoning Group
README.md

Trustworthy Machine Learning and Reasoning (TMLR) Group, an online-offline-mixed machine learning research group, locates in different cities, including Hong Kong, Melbourne, Shanghai, Nottingham and Sydney. We share the vision for the future ML technology: building trustworthy learning and reasoning algorithms, theories and systems.

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  1. AR-Bench AR-Bench Public

    [ICML 2025] "Can Large Language Models Ask the Right Questions in Solving Complex Problems with Incomplete Information?"

    3

  2. DAD DAD Public

    [ICML 2025] "DDAD: A Two-pronged Adversarial Defense Based on Distributional Discrepancy"

    Python

  3. G-effect G-effect Public

    Forked from QizhouWang/G-effect

    [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"

    Python 11 1

  4. AttrVR AttrVR Public

    Forked from caichengyi/AttrVR

    [ICLR 2025] "Attribute-based Visual Reprogramming for Vision-Language Models" Official Website: https://github.com/tmlr-group/AttrVR

    Python 2

  5. NoisyRationales NoisyRationales Public

    [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"

    Python 35 2

  6. BayesianLM BayesianLM Public

    Forked from caichengyi/BayesianLM

    [NeurIPS 2024 Oral] "Bayesian-Guided Label Mapping for Visual Reprogramming"

    Python 9 1

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