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20242026
most citedThe Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models

4 citations · 7 across the 9 of their papers we have counts for

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cs.CL2026

The Subjectivity of Respect in Police Traffic Stops: Modeling Community Perspectives in Body-Worn Camera Footage

Preni Golazizian, Elnaz Rahmati, Jackson Trager +17

Traffic stops are among the most frequent police-civilian interactions, and body-worn cameras (BWCs) provide a unique record of how these encounters unfold. Respect is a central di…

cs.CL2026

Tracing Moral Foundations in Large Language Models

Chenxiao Yu, Bowen Yi, Farzan Karimi-Malekabadi +5

Large language models often produce human-like moral judgments, but it is unclear whether this reflects an internal conceptual structure or superficial ``moral mimicry.'' Using Mor…

cs.CL2025

LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding

Zhivar Sourati, Zheng Wang, Marianne Menglin Liu +8

Question answering over visually rich documents (VRDs) requires reasoning not only over isolated content but also over documents' structural organization and cross-page dependencie…

cs.CL20251 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

CoCo-CoLa: Evaluating and Improving Language Adherence in Multilingual LLMs

Elnaz Rahmati, Alireza S. Ziabari, Morteza Dehghani

Multilingual Large Language Models (LLMs) develop cross-lingual abilities despite being trained on limited parallel data. However, they often struggle to generate responses in the…

cs.CL20252 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…