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Published in Open-source interpretability toolkit, 2025
Open-source sparse autoencoders and toolkits for language model interpretability.
Published in EMNLP 2025 Main Conference, 2025
Accepted at EMNLP 2025 Main Conference. Code and dataset available.
Published in ISMRM 2025, 2025
A transfer-learning approach for high-fidelity, ultra-fast diffusion tensor imaging in stroke patients.
Published in ACL 2026 Main Conference, 2026
Accepted at ACL 2026 Main Conference. Code available on GitHub.
Published in Preprint, 2026
A sparse autoencoder-guided framework for using model internals to engineer post-training data for LLM reinforcement learning.
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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