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Daniel Tan

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Articles

Inoculation Adapters Improve Upon Inoculation Prompting

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By Maxime Riché, Daniel Tan, Vili Kohonen
| LessWrong (30+ Karma)
This is a link post for the paper preprint: Inoculation Adapters: Improved Selective Generalization of Capabilities with Fewer Surprising Backdoorsfrom the Center on Long-Term Risk. Selective generalization. Training can teach desired and undesired traits at once. Selective generalization aims to preserve the generalization of desired traits while preventing the generalization of undesired ones.
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Abstract P103: Large-Scale Integrative Analysis Identifies Expression-Based Predictors of EGFR-TKI Response Free

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By Shao Ping Weng, Daniel Tan, Sim Ngak
| Cancer Research Verified
Lung adenocarcinomas patients harboring classical mutations in the epidermal growth factor receptor (EGFR), notably Exon 19 deletions and L858R insertions, are typically treated with tyrosine kinase inhibitors (TKIs) as first-line therapy. While these tumours initially respond well, resistance frequently arises within 12 to 18 months, presenting a major clinical challenge. Current clinical practice relies on mutational profiling to guide EGFR-TKI therapy.
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Your Model Organisms Might Be Fried

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By Daniel Tan, J Bostock, David Africa
| LessWrong (30+ Karma)
Context: We are the ‘model motivations’ team at Arcadia Alignment. We aim to build a science of ‘model intentions’, unifying insights from personas and other empirical evidence. In this post, we’ll outline the need for much better model organisms and how we might get there. Model organisms are how we study alignment-relevant pathologies (such as secret loyalties, reward hacking, and sandbagging) and are used as a testbed for alignment auditing and interpretability methods.
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