94 citations · 121 across the 7 of their papers we have counts for
10 papers
From Attention Sensitivity to Layer Role: Revisiting Mixed-Precision Quantization of Transformers
Nafiseh HosseinpourFardi, Negar Alihadi, Mahmoudreza Babaei +2
Most post-training quantization pipelines fit each weight matrix to its pretrained counterpart, one matrix at a time. Whether that proxy tracks what an attention block actually com…
Fair Fact-Checking: Closing the Cross-Lingual Gap in LLM Factual Judgement with RoSh
Muhammad Ahmad, Fatemeh Seyedin, Adrian Weller +2
Misinformation on social media remains a critical problem, and more and more people settle it by asking a language model instead of a fact checker. Whether models judge such claims…
Social Behavior Among Autonomous AI: How Large Language Models Interact in Dynamic Networks
Narges Fardnia, Fatemeh Seyedin, Matthias Becker +2
Cooperation is a cornerstone of human societies, enabling collective progress in dynamic and uncertain environments. With the advent of AI systems acting autonomously, it becomes c…
The Politician, the Liar, and the Obedient Worker: Emerging Behavior of LLM Agents in Hierarchical Games
Fatemeh Seyedin, Adrian Weller, Jinhyuk Yun +1
LLMs are rapidly embedding themselves into daily life: drafting our emails, managing our schedules, and making decisions on our behalf. As they move from individual tools to partic…
CrossWalk: Fairness-enhanced Node Representation Learning
Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei +3
The potential for machine learning systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. Much recent work has focused on devel…
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei +3
Influence maximization is a widely studied topic in network science, where the aim is to reach the maximum possible number of nodes, while only targeting a small initial set of ind…
On the Fairness of Time-Critical Influence Maximization in Social Networks
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty +3
Influence maximization has found applications in a wide range of real-world problems, for instance, viral marketing of products in an online social network, and information propaga…
On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook
Filipe N. Ribeiro, Koustuv Saha, Mahmoudreza Babaei +6
Targeted advertising is meant to improve the efficiency of matching advertisers to their customers. However, targeted advertising can also be abused by malicious advertisers to eff…
On the Efficiency of the Information Networks in Social Media
Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera +2
Social media sites are information marketplaces, where users produce and consume a wide variety of information and ideas. In these sites, users typically choose their information s…
The Road to Popularity: The Dilution of Growing Audience on Twitter
Przemyslaw A. Grabowicz, Mahmoudreza Babaei, Juhi Kulshrestha +1
On social media platforms, like Twitter, users are often interested in gaining more influence and popularity by growing their set of followers, aka their audience. Several studies…