Representing Partial Programs with Blended Abstract Semantics. - Maxwell I. Nye; Yewen Pu; Matthew Bowers; Jacob Andreas; Joshua B. Tenenbaum; Armando Solar-Lezama (ICLR, 2021)

Top-Down Synthesis for Library Learning. - Matthew Bowers; Theo X. Olausson; Catherine Wong; Gabriel Grand; Joshua B. Tenenbaum; Kevin Ellis; Armando Solar-Lezama (CoRR, 2022)

Language Models Can Teach Themselves to Program Better. - Patrick Haluptzok; Matthew Bowers; Adam Tauman Kalai (ICLR, 2023)

Top-Down Synthesis for Library Learning. - Matthew Bowers; Theo X. Olausson; Lionel Wong; Gabriel Grand; Joshua B. Tenenbaum; Kevin Ellis; Armando Solar-Lezama (Proc. ACM Program. Lang., 2023)

LILO: Learning Interpretable Libraries by Compressing and Documenting Code. - Gabriel Grand; Lionel Wong; Matthew Bowers; Theo X. Olausson; Muxin Liu; Joshua B. Tenenbaum; Jacob Andreas (ICLR, 2024)