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
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Repositories
- CausalCOAT Public Forked from LFhase/CausalCOAT
[NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
- Spatial-Harness Public
[NeurIPS 2026] "Spatial Harness: Grounding Spatial Reasoning in Executable World States with Physics Engines"
- tmlr-group.github.io Public
- CRU Public
[NeurIPS 2026] "On the Fragility of Latent Knowledge: Layer-wise Influence under Unlearning in Large Language Model"
- CoVer_plus Public Forked from ZBox1005/CoVer_plus
[IJCV 2026] "Unveiling Representation Expansion: A New Lens on Out-of-Distribution Detection"
- TACA Public
[NeurIPS 2026] "Transition-Aware Credit Assignment in Agentic Learning for LLM Reasoning"
- TTCL Public Forked from resistzzz/TTCL
[Arxiv] "Test-time Calibration Learning for Large Language Model Reasoning"
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