no code implementations • 8 Mar 2024 • Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap
Recent advances in large language models (LLM) have enabled richer social simulations, allowing for the study of various social phenomena.
no code implementations • 1 Nov 2023 • Tiwalayo Eisape, MH Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen
A central component of rational behavior is logical inference: the process of determining which conclusions follow from a set of premises.
1 code implementation • 17 Nov 2022 • Tiwalayo Eisape, Vineet Gangireddy, Roger P. Levy, Yoon Kim
This suggests implicit incremental syntactic inferences underlie next-word predictions in autoregressive neural language models.
1 code implementation • NAACL 2022 • Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah
Recent causal probing literature reveals when language models and syntactic probes use similar representations.
no code implementations • CONLL 2020 • Tiwalayo Eisape, Noga Zaslavsky, Roger Levy
Contemporary autoregressive language models (LMs) trained purely on corpus data have been shown to capture numerous features of human incremental processing.