IPOWER: Incremental, Probabilistic, Open-World Reference Resolution. - Will Culpepper; Thomas A. Bennett; Lixiao Zhu; Rafael Sousa Silva; Ryan Blake Jackson; Tom Williams 001 (CogSci, 2022)

Forget About It: Entity-Level Working Memory Models for Referring Expression Generation in Robot Cognitive Architectures. - Rafael Sousa Silva; Michelle Lieng; Tom Williams 001 (CogSci, 2023)

Enabling Human-like Language-Capable Robots Through Working Memory Modeling. - Rafael Sousa Silva; Tom Williams 001 (HRI (Companion), 2023)

Worth the Wait: Understanding How the Benefits of Performative Autonomy Depend on Communication Latency. - Rafael Sousa Silva; Michelle Lieng; Emil Muly; Tom Williams 001 (RO-MAN, 2023)

The Importance of Memory for Language-Capable Robots. - Rafael Sousa Silva; Zhao Han; Tom Williams 001 (XRDS, 2023)

Handling Working Memory Knowledge Through a Consultant-Level Resource Management Strategy. - Rafael Sousa Silva; Tom Williams 001 (HRI (Companion), 2024)

Toward RAPS: the Robot Autonomy Perception Scale. - Rafael Sousa Silva; Cailyn Smith; Lara Bezerra; Tom Williams 001 (CoRR, 2024)