The Quantum Entropy Cone of Hypergraphs. - Ning Bao; Newton Cheng; Sergio Hernández-Cuenca; Vincent Paul Su (CoRR, 2020)

Topological Link Models of Multipartite Entanglement. - Ning Bao; Newton Cheng; Sergio Hernández-Cuenca; Vincent Paul Su (Quantum, 2022)

Question Decomposition Improves the Faithfulness of Model-Generated Reasoning. - Ansh Radhakrishnan; Karina Nguyen; Anna Chen; Carol Chen; Carson Denison; Danny Hernandez; Esin Durmus; Evan Hubinger; Jackson Kernion; Kamile Lukosiute; Newton Cheng; Nicholas Joseph; et al. (CoRR, 2023)

Measuring Faithfulness in Chain-of-Thought Reasoning. - Tamera Lanham; Anna Chen; Ansh Radhakrishnan; Benoit Steiner; Carson Denison; Danny Hernandez; Dustin Li; Esin Durmus; Evan Hubinger; Jackson Kernion; Kamile Lukosiute; Karina Nguyen; et al. (CoRR, 2023)

Towards Understanding Sycophancy in Language Models. - Mrinank Sharma; Meg Tong; Tomasz Korbak; David Duvenaud; Amanda Askell; Samuel R. Bowman; Newton Cheng; Esin Durmus; Zac Hatfield-Dodds; Scott R. Johnston; Shauna Kravec; Timothy Maxwell; et al. (CoRR, 2023)

Specific versus General Principles for Constitutional AI. - Sandipan Kundu; Yuntao Bai; Saurav Kadavath; Amanda Askell; Andrew Callahan; Anna Chen; Anna Goldie; Avital Balwit; Azalia Mirhoseini; Brayden McLean; Catherine Olsson; Cassie Evraets; et al. (CoRR, 2023)

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. - Evan Hubinger; Carson Denison; Jesse Mu; Mike Lambert; Meg Tong; Monte MacDiarmid; Tamera Lanham; Daniel M. Ziegler; Tim Maxwell; Newton Cheng; Adam S. Jermyn; Amanda Askell; et al. (CoRR, 2024)