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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Repositories
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- Co-rewarding Public Forked from resistzzz/Co-rewarding
[arXiv:2508.00410] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"
tmlr-group/Co-rewarding’s past year of commit activity - AlphaApollo Public
tmlr-group/AlphaApollo’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 - 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 - AR-Bench Public
[ICML 2025] "From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?"
tmlr-group/AR-Bench’s past year of commit activity - DAD Public Forked from JiachengZ01/DAD
[ICML 2025] "One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy"
tmlr-group/DAD’s past year of commit activity
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