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.
TMLR Group
Trustworthy Machine Learning and Reasoning Group
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- NoisyRationales Public
[NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
tmlr-group/NoisyRationales’s past year of commit activity - ECON Public
[ICML 2025] "From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium"
tmlr-group/ECON’s past year of commit activity - landscape-of-thoughts Public
[ICLR 2025 Workshop] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"
tmlr-group/landscape-of-thoughts’s past year of commit activity - Awesome-model-inversion-attack Public Forked from AndrewZhou924/Awesome-model-inversion-attack
[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
tmlr-group/Awesome-model-inversion-attack’s past year of commit activity - tmlr-group.github.io Public
tmlr-group/tmlr-group.github.io’s past year of commit activity
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