Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction. - Anton Schäfer; Nils Blach; Oliver Rausch; Maximilian Warm; Nils Krüger (CoRR, 2020)

A data-centric optimization framework for machine learning. - Oliver Rausch; Tal Ben-Nun; Nikoli Dryden; Andrei Ivanov; Shigang Li 002; Torsten Hoefler (ICS, 2022)

Discovering Language Model Behaviors with Model-Written Evaluations. - Ethan Perez; Sam Ringer; Kamile Lukosiute; Karina Nguyen; Edwin Chen; Scott Heiner; Craig Pettit; Catherine Olsson; Sandipan Kundu; Saurav Kadavath; Andy Jones; Anna Chen; et al. (CoRR, 2022)

Python FPGA Programming with Data-Centric Multi-Level Design. - Johannes de Fine Licht; Tiziano De Matteis; Tal Ben-Nun; Andreas Kuster; Oliver Rausch; Manuel Burger; Carl-Johannes Johnsen; Torsten Hoefler (CoRR, 2022)

Discovering Language Model Behaviors with Model-Written Evaluations. - Ethan Perez; Sam Ringer; Kamile Lukosiute; Karina Nguyen; Edwin Chen; Scott Heiner; Craig Pettit; Catherine Olsson; Sandipan Kundu; Saurav Kadavath; Andy Jones; Anna Chen; et al. (ACL (Findings), 2023)

The Capacity for Moral Self-Correction in Large Language Models. - Deep Ganguli; Amanda Askell; Nicholas Schiefer; Thomas I. Liao; Kamile Lukosiute; Anna Chen; Anna Goldie; Azalia Mirhoseini; Catherine Olsson; Danny Hernandez; Dawn Drain; Dustin Li; et al. (CoRR, 2023)

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)

Towards Understanding Sycophancy in Language Models. - Mrinank Sharma; Meg Tong; Tomasz Korbak; David Duvenaud; Amanda Askell; Samuel R. Bowman; Esin Durmus; Zac Hatfield-Dodds; Scott R. Johnston; Shauna Kravec; Timothy Maxwell; Sam McCandlish; et al. (ICLR, 2024)