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Tiwalayo Eisape

4 accepted papers

2024

A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models

NAACL 2024long

A central component of rational behavior is logical inference: the process of determining which conclusions follow from a set of premises. Psychologists have documented several ways in which humans’ inferences deviate from the rules of logic. Do language models, which are trained on text generated b…

2024

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

EMNLP 2024main

Recent advances in large language models (LLM) have enabled richer social simulations, allowing for the study of various social phenomena. However, most recent work has used a more omniscient perspective on these simulations (e.g., single LLM to generate all interlocutors), which is fundamentally at…

Cited by 36SourcePDFScholar
2022

Probing for Incremental Parse States in Autoregressive Language Models

EMNLP 2022finding

Next-word predictions from autoregressive neural language models show remarkable sensitivity to syntax. This work evaluates the extent to which this behavior arises as a result of a learned ability to maintain implicit representations of incremental syntactic structures. We extend work in syntactic…

2022

When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes

NAACL 2022long

Recent causal probing literature reveals when language models and syntactic probes use similar representations. Such techniques may yield “false negative” causality results: models may use representations of syntax, but probes may have learned to use redundant encodings of the same syntactic informa…