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Preferences Implicit in the State of the World., , , , and . ICLR (Poster), OpenReview.net, (2019)SIRL: Similarity-based Implicit Representation Learning., , , , and . HRI, page 565-574. ACM, (2023)Optimal Policies Tend To Seek Power., , , , and . NeurIPS, page 23063-23074. (2021)On scalable oversight with weak LLMs judging strong LLMs., , , , , , , , , and 1 other author(s). CoRR, (2024)Evaluating Frontier Models for Dangerous Capabilities., , , , , , , , , and 17 other author(s). CoRR, (2024)Extracting and Using Preference Information from the State of the World.. University of California, Berkeley, USA, (2020)Choice Set Misspecification in Reward Inference., , and . AISafety@IJCAI, volume 2640 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)On the Utility of Learning about Humans for Human-AI Coordination., , , , , , and . NeurIPS, page 5175-5186. (2019)Improving Dictionary Learning with Gated Sparse Autoencoders., , , , , , , and . CoRR, (2024)Chlorophyll: synthesis-aided compiler for low-power spatial architectures., , , , , and . PLDI, page 396-407. ACM, (2014)