5 citations · 18 across the 12 of their papers we have counts for
12 papers
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…
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…
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…
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning
Yifan Jiang, Jiarui Zhang, Kexuan Sun +5
While multi-modal large language models (MLLMs) have shown significant progress on many popular visual reasoning benchmarks, whether they possess abstract visual reasoning abilitie…
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…
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…
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…
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…
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…
Case-Based Reasoning with Language Models for Classification of Logical Fallacies
Zhivar Sourati, Filip Ilievski, Hông-Ân Sandlin +1
The ease and speed of spreading misinformation and propaganda on the Web motivate the need to develop trustworthy technology for detecting fallacies in natural language arguments.…
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…
Multimodal and Explainable Internet Meme Classification
Abhinav Kumar Thakur, Filip Ilievski, Hông-Ân Sandlin +4
In the current context where online platforms have been effectively weaponized in a variety of geo-political events and social issues, Internet memes make fair content moderation a…