activity
20222025
most citedMultimodal and Explainable Internet Meme Classification

5 citations · 18 across the 12 of their papers we have counts for

collaborators
Showing cs.CLShow all

9 papers · 1 filter

cs.CL2025★ 1 cited

The Homogenizing Effect of Large Language Models on Human Expression and Thought

Zhivar Sourati, Alireza S. Ziabari, Morteza Dehghani

Cognitive diversity, reflected in variations of language, perspective, and reasoning, is essential to creativity and collective intelligence. This diversity is rich and grounded in…

cs.CL2025★ 2 cited

Reasoning on a Spectrum: Aligning LLMs to System 1 and System 2 Thinking

Alireza S. Ziabari, Nona Ghazizadeh, Zhivar Sourati +3

Large Language Models (LLMs) exhibit impressive reasoning abilities, yet their reliance on structured step-by-step processing reveals a critical limitation. In contrast, human cogn…

cs.CL2025★ 4 cited

The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models

Zhivar Sourati, Farzan Karimi-Malekabadi, Meltem Ozcan +7

Language is far more than a communication tool; it encodes a wealth of information about a person's identity, psychological state, and social context, providing valuable insights f…

cs.CL2024

Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits

Zhivar Sourati, Meltem Ozcan, Colin McDaniel +5

Prior research has established associations between individuals' language usage and their personal traits; our linguistic patterns reveal information about our personalities, emoti…

cs.CL2024★ 3 cited

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models

Kian Ahrabian, Zhivar Sourati, Kexuan Sun +4

While large language models (LLMs) are still being adopted to new domains and utilized in novel applications, we are experiencing an influx of the new generation of foundation mode…

cs.CL2023

Robust Text Classification: Analyzing Prototype-Based Networks

Zhivar Sourati, Darshan Deshpande, Filip Ilievski +2

Downstream applications often require text classification models to be accurate and robust. While the accuracy of the state-of-the-art Language Models (LMs) approximates human perf…

cs.CL2023★ 1 cited

ARN: Analogical Reasoning on Narratives

Zhivar Sourati, Filip Ilievski, Pia Sommerauer +1

As a core cognitive skill that enables the transferability of information across domains, analogical reasoning has been extensively studied for both humans and computational models…

cs.CL2023

Contextualizing Argument Quality Assessment with Relevant Knowledge

Darshan Deshpande, Zhivar Sourati, Filip Ilievski +1

Automatic assessment of the quality of arguments has been recognized as a challenging task with significant implications for misinformation and targeted speech. While real-world ar…

cs.CL2022

Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments

Zhivar Sourati, Vishnu Priya Prasanna Venkatesh, Darshan Deshpande +4

The spread of misinformation, propaganda, and flawed argumentation has been amplified in the Internet era. Given the volume of data and the subtlety of identifying violations of ar…