Ariel Goldstein

According to our database1, Ariel Goldstein authored at least 13 papers between 2016 and 2024.

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Timeline

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Bibliography

2024
SAUCE: Synchronous and Asynchronous User-Customizable Environment for Multi-Agent LLM Interaction.
CoRR, 2024

Looking Beyond The Top-1: Transformers Determine Top Tokens In Order.
CoRR, 2024

Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning.
CoRR, 2024

Can LLMs Learn Macroeconomic Narratives from Social Media?
CoRR, 2024

A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns.
CoRR, 2024

Systematic Biases in LLM Simulations of Debates.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Bayesian Surprise Predicts Human Event Segmentation in Story Listening.
Cogn. Sci., October, 2023

The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models.
CoRR, 2023

Decoding Stumpers: Large Language Models vs. Human Problem-Solvers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Event Segmentation In Story Listening Using Deep Language Models.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020
Keep it real: rethinking the primacy of experimental control in cognitive neuroscience.
NeuroImage, 2020

2016
Generating Predictions Non-consciously: Evidence from Invisible Motion with and without Obstacles.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016


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