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My interests include representation learning, multimodal pretraining, post-training (especially agentic reinforcement learning), and agent harnesses.
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Darwin-Agent/HarnessX
Darwin-Agent/HarnessX PublicHarnessX is a harness foundry: forge any number of agent harnesses from reusable processors and bundles, pair each with any model, and evolve them through training.
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thuiar/CRL
thuiar/CRL PublicImplementation of the research paper Consistent Representation Learning for Continual Relation Extraction (Findings of ACL 2022)
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