M-VADER: A Model for Diffusion with Multimodal Context. - Samuel Weinbach; Marco Bellagente; Constantin Eichenberg; Andrew Dai 001; Robert Baldock; Souradeep Nanda; Björn Deiseroth; Koen Oostermeijer; Hannah Teufel; Andrés Felipe Cruz-Salinas (CoRR, 2022)

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. - Marco Bellagente; Manuel Brack; Hannah Teufel; Felix Friedrich; Björn Deiseroth; Constantin Eichenberg; Andrew Dai 001; Robert Baldock; Souradeep Nanda; Koen Oostermeijer; Andrés Felipe Cruz-Salinas; Patrick Schramowski; et al. (NeurIPS, 2023)

Quality-Diversity through AI Feedback. - Herbie Bradley; Andrew Dai 001; Hannah Benita Teufel; Jenny Zhang; Koen Oostermeijer; Marco Bellagente; Jeff Clune; Kenneth O. Stanley; Grégory Schott; Joel Lehman (ICLR, 2024)

From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models. - Eleni Nisioti; Claire Glanois; Elias Najarro; Andrew Dai 001; Elliot Meyerson; Joachim Winther Pedersen; Laetitia Teodorescu; Conor F. Hayes; Shyam Sudhakaran; Sebastian Risi (CoRR, 2024)

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models. - Alex Havrilla; Andrew Dai 001; Laura O'Mahony; Koen Oostermeijer; Vera Zisler; Alon Albalak; Fabrizio Milo; Sharath Chandra Raparthy; Kanishk Gandhi; Baber Abbasi; Duy Phung; Maia Iyer; et al. (CoRR, 2024)