Ariel Goldstein

According to our database1, Ariel Goldstein authored at least 21 papers between 2016 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Overtrained, Not Misaligned.
CoRR, May, 2026

Motivation in Large Language Models.
CoRR, March, 2026

Aligning brains into a shared space improves their alignment with large language models.
Nat. Comput. Sci., February, 2026

Evaluating Alignment of Behavioral Dispositions in LLMs.
CoRR, February, 2026

Indications of Belief-Guided Agency and Meta-Cognitive Monitoring in Large Language Models.
CoRR, February, 2026

2025
Knowledge Is More Than Performance: How Knowledge Diversity Drives Human-Human and Human-AI Interaction Synergy and Reveals Pure-AI Interaction Shortfalls.
CoRR, July, 2025

Can LLMs Learn Macroeconomic Narratives from Social Media?
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Looking Beyond the Top-1: Transformers Determine Top Tokens in Order.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Can (A)I Change Your Mind?
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Confidence Improves Self-Consistency in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

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

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

A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 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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