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Jacob Steinhardt

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Scalably Understanding AI with AIDomain Adaptation and Related Areas 20242024-11-12
Trains investigator agents with supervised fine-tuning and DPO to invert outputs into prompts, then applies them to jailbreaks and hallucination searches…
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Understanding and Steering Generative AI SystemsSpecial Year on Large Language Models and Transformers, Part 1 Boot Camp2024-09-04
A practical pipeline decomposes CLIP into patches, heads and neurons and shows empirically that mean ablation removing everything but the last ~4 attention…
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Agnostic learning with unknown utilitiesITCS 20212021-01-06
Framework studies agnostic supervised learning where the utility U is arbitrary and only the hypothesis class F is restricted, and it introduces a K-comparison…
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Designing Robust LearnersEmerging Challenges in Deep Learning (Simons Institute workshop, 2019)2019-08-05
Shows that projecting the corrupted distribution to the closest valid model and outputting that model’s parameter is information-theoretically optimal up to…
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