Ariel Goldstein

According to our database, Ariel Goldstein authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Tom Sheffer, Alon Miron, Yaniv Dover, Ariel Goldstein

CoRR, July, 2025

Can (A)I Change Your Mind?

Miriam Havin, Timna Wharton Kleinman, Moran Koren, Yaniv Dover, Ariel Goldstein

CoRR, March, 2025

Can LLMs Learn Macroeconomic Narratives from Social Media?

Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Confidence Improves Self-Consistency in LLMs.

Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Shlomo Neuberger, Niv Eckhaus, Uri Berger, Amir Taubenfeld, Gabriel Stanovsky, Ariel Goldstein

CoRR, 2024

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

Daria Lioubashevski, Tomer Schlank, Gabriel Stanovsky, Ariel Goldstein

CoRR, 2024

Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning.

Yuval Shalev, Amir Feder, Ariel Goldstein

CoRR, 2024

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

Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky, Ariel Goldstein, Omri Abend

CoRR, 2024

Systematic Biases in LLM Simulations of Debates.

Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein

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.

Ariel Goldstein, Gabriel Stanovsky

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Bayesian Surprise Predicts Human Event Segmentation in Story Listening.

Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Uri Hasson, Kenneth A. Norman

Cogn. Sci., October, 2023

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

Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson

CoRR, 2023

Decoding Stumpers: Large Language Models vs. Human Problem-Solvers.

Alon Goldstein, Miriam Havin, Roi Reichart, Ariel Goldstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Event Segmentation In Story Listening Using Deep Language Models.

Manoj Kumar, Ariel Goldstein, Sebastian Michelmann, Jeffrey M. Zacks, Kenneth A. Norman, Uri Hasson

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.

Samuel A. Nastase, Ariel Goldstein, Uri Hasson

NeuroImage, 2020

2016

Generating Predictions Non-consciously: Evidence from Invisible Motion with and without Obstacles.

Ariel Goldstein, Ido Rivlin, Ran Hassin

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016