Search Results for author: Tiwalayo Eisape

Found 5 papers, 2 papers with code

Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs

no code implementations8 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.

A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models

no code implementations1 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.

Logical Fallacies

Probing for Incremental Parse States in Autoregressive Language Models

1 code implementation17 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.

Sentence

Cloze Distillation: Improving Neural Language Models with Human Next-Word Prediction

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.

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