activity
20242026
collaborators

6 papers

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.CL2025

Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs

Parsa Hejabi, Elnaz Rahmati, Alireza S. Ziabari +1

Large Language Models (LLMs) often produce inconsistent answers when faced with different phrasings of the same prompt. In this paper, we propose Flip-Flop Consistency (), an…

cs.CL2025

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.CL2025

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.MA2024

Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash

Parsa Hejabi, Elnaz Rahmati, Alireza S. Ziabari +3

Large Language Models (LLMs) have shown impressive capabilities in complex tasks and interactive environments, yet their creativity remains underexplored. This paper introduces a s…