Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (NeurIPS (Competition and Demos), 2021)

GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves. - Denis Peskoff; Adam Visokay; Sander Schulhoff; Benjamin Wachspress; Alan Blinder; Brandon M. Stewart (EMNLP (Findings), 2023)

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition. - Sander Schulhoff; Jeremy Pinto; Anaum Khan; Louis-François Bouchard; Chenglei Si; Svetlina Anati; Valen Tagliabue; Anson Liu Kost; Christopher Carnahan; Jordan L. Boyd-Graber (EMNLP, 2023)

BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Rohin Shah (NeurIPS, 2023)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (CoRR, 2023)

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition. - Sander Schulhoff; Jeremy Pinto; Anaum Khan; Louis-François Bouchard; Chenglei Si; Svetlina Anati; Valen Tagliabue; Anson Liu Kost; Christopher Carnahan; Jordan L. Boyd-Graber (CoRR, 2023)

The Prompt Report: A Systematic Survey of Prompting Techniques. - Sander Schulhoff; Michael Ilie; Nishant Balepur; Konstantine Kahadze; Amanda Liu; Chenglei Si; Yinheng Li; Aayush Gupta; HyoJung Han; Sevien Schulhoff; Pranav Sandeep Dulepet; Saurav Vidyadhara; et al. (CoRR, 2024)

Gymnasium: A Standard Interface for Reinforcement Learning Environments. - Mark Towers; Ariel Kwiatkowski; Jordan K. Terry; John U. Balis; Gianluca De Cola; Tristan Deleu; Manuel Goulão; Andreas Kallinteris; Markus Krimmel; Arjun KG; Rodrigo Perez-Vicente; Andrea Pierré; et al. (CoRR, 2024)

Prompt Optimization and Evaluation for LLM Automated Red Teaming. - Michael Freenor; Lauren Alvarez; Milton Leal; Lily Smith; Joel Garrett; Yelyzaveta Husieva; Madeline Woodruff; Ryan Miller; Erich Kummerfeld; Rafael Medeiros; Sander Schulhoff (CoRR, 2025)