activity
20232026
most citedRemembering Unequally: Global and Disciplinary Bias in LLM Reconstruction of Scholarly Coauthor Lists

4 citations · 11 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2026

PERCEPT: A Corpus for POS Tagging and Analysis of Persian-English Code-Mixing

Ghazal Kalhor, Zahra Jafari, Amirarsalan Shahbazi +1

Social media has become a major venue for multilingual communication, where users frequently mix multiple languages within a single utterance. Although code-mixed corpora have been…

cs.IR2026

Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)

Yifan Liu, Jaime Arguello, Orland Hoeber +30

This report summarizes the CHIIR 2026 Workshop on Generative AI and Academic Search (GAI\&AS), which examined how GenAI is reshaping academic search systems and research practices.…

cs.CL2026

GhazalBench: Canonical Verse Access in LLMs across Persian Ghazals and Shakespearean Sonnets

Ghazal Kalhor, Yadollah Yaghoobzadeh

Persian poetry plays an active role in Iranian cultural practice, where verses by canonical poets such as Hafez and Saadi are frequently quoted, paraphrased, or completed from inco…

cs.CL2026

MasalBench: A Benchmark for Contextual and Cross-Cultural Understanding of Persian Proverbs in LLMs

Ghazal Kalhor, Behnam Bahrak

In recent years, multilingual Large Language Models (LLMs) have become an inseparable part of daily life, making it crucial for them to master the rules of conversational language…

cs.CL2025★ 4 cited

Remembering Unequally: Global and Disciplinary Bias in LLM Reconstruction of Scholarly Coauthor Lists

Ghazal Kalhor, Afra Mashhadi

Ongoing breakthroughs in large language models (LLMs) are reshaping scholarly search and discovery interfaces. While these systems offer new possibilities for navigating scientific…

cs.CL2025

Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian

Ghazal Kalhor, Behnam Bahrak

Multilingual Large Language Models (LLMs) are increasingly used worldwide, making it essential to ensure they are free from gender bias to prevent representational harm. While prio…

cs.SI2024★ 3 cited

Understanding Trends, Patterns, and Dynamics in Global Company Acquisitions: A Network Perspective

Ghazal Kalhor, Behnam Bahrak

Studying acquisitions offers invaluable insights into startup trends, aiding informed investment decisions for businesses. However, the scarcity of studies in this domain prompts o…

cs.SI2023★ 2 cited

Analysis of Research Trends in Computer Science: A Network Approach

Ghazal Kalhor, Behnam Bahrak

Nowadays, computer science (CS) has emerged as a dominant force in numerous research areas both within and beyond its own discipline. However, despite its significant impact on sch…

cs.CY2023

Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds

Ghazal Kalhor, Behnam Bahrak

After completing their undergraduate studies, many computer science (CS) students apply for competitive graduate programs in North America. Their long-term goal is often to be hire…

cs.SI2023★ 1 cited

Gender Gaps in Online Social Connectivity, Promotion and Relocation Reports on LinkedIn

Ghazal Kalhor, Hannah Gardner, Ingmar Weber +1

Online professional social networking platforms provide opportunities to expand networks strategically for job opportunities and career advancement. A large body of research shows…

cs.CY2023★ 1 cited

Diversity dilemmas: uncovering gender and nationality biases in graduate admissions across top North American computer science programs

Ghazal Kalhor, Tanin Zeraati, Behnam Bahrak

Although different organizations have defined policies towards diversity in academia, many argue that minorities are still disadvantaged in university admissions due to biases. Ext…