61 citations · 261 across the 22 of their papers we have counts for
28 papers
Impact of Price Inflation on Algorithmic Collusion Through Reinforcement Learning Agents
Sebastián Tinoco, Andrés Abeliuk, Javier Ruiz del Solar
Algorithmic pricing is increasingly shaping market competition, raising concerns about its potential to compromise competitive dynamics. While prior work has shown that reinforceme…
Zero-Shot Decision Tree Construction via Large Language Models
Lucas Carrasco, Felipe Urrutia, Andrés Abeliuk
This paper introduces a novel algorithm for constructing decision trees using large language models (LLMs) in a zero-shot manner based on Classification and Regression Trees (CART)…
Fairness in LLM-Generated Surveys
Andrés Abeliuk, Vanessa Gaete, Naim Bro
Large Language Models (LLMs) excel in text generation and understanding, especially in simulating socio-political and economic patterns, serving as an alternative to traditional su…
Hybrid Forecasting of Geopolitical Events
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas +26
Sound decision-making relies on accurate prediction for tangible outcomes ranging from military conflict to disease outbreaks. To improve crowdsourced forecasting accuracy, we deve…
QuickCent: a fast and frugal heuristic for harmonic centrality estimation on scale-free networks
Francisco Plana, Andrés Abeliuk, Jorge Pérez
We present a simple and quick method to approximate network centrality indexes. Our approach, called QuickCent, is inspired by so-called fast and frugal heuristics, which are heuri…
Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios
Cinthia Sánchez, Hernan Sarmiento, Andres Abeliuk +2
Social media data has emerged as a useful source of timely information about real-world crisis events. One of the main tasks related to the use of social media for disaster managem…
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
Zihao He, Negar Mokhberian, Antonio Camara +2
Growing polarization of the news media has been blamed for fanning disagreement, controversy and even violence. Early identification of polarized topics is thus an urgent matter th…
Moral Framing and Ideological Bias of News
Negar Mokhberian, Andrés Abeliuk, Patrick Cummings +1
News outlets are a primary source for many people to learn what is going on in the world. However, outlets with different political slants, when talking about the same news story,…
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms
Akira Matsui, Emilio Ferrara, Fred Morstatter +2
Crowdwork often entails tackling cognitively-demanding and time-consuming tasks. Crowdsourcing can be used for complex annotation tasks, from medical imaging to geospatial data, an…
Challenges in Forecasting Malicious Events from Incomplete Data
Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian +2
The ability to accurately predict cyber-attacks would enable organizations to mitigate their growing threat and avert the financial losses and disruptions they cause. But how predi…
Anchor Attention for Hybrid Crowd Forecasts Aggregation
Yuzhong Huang, Andres Abeliuk, Fred Morstatter +2
In a crowd forecasting system, aggregation is an algorithm that returns aggregated probabilities for each question based on the probabilities provided per question by each individu…
Quantifying the Effects of Recommendation Systems
Sunshine Chong, Andrés Abeliuk
Recommendation systems today exert a strong influence on consumer behavior and individual perceptions of the world. By using collaborative filtering (CF) methods to create recommen…
Predictability limit of partially observed systems
Andrés Abeliuk, Zhishen Huang, Emilio Ferrara +1
Applications from finance to epidemiology and cyber-security require accurate forecasts of dynamic phenomena, which are often only partially observed. We demonstrate that a system'…
Collaboration Drives Individual Productivity
Goran Muric, Andres Abeliuk, Kristina Lerman +1
How does the number of collaborators affect individual productivity? Results of prior research have been conflicting, with some studies reporting an increase in individual producti…
Learning Behavioral Representations from Wearable Sensors
Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte +4
Continuous collection of physiological data from wearable sensors enables temporal characterization of individual behaviors. Understanding the relation between an individual's beha…
Friendship Paradox Biases Perceptions in Directed Networks
Nazanin Alipourfard, Buddhika Nettasinghe, Andres Abeliuk +2
How popular a topic or an opinion appears to be in a network can be very different from its actual popularity. For example, in an online network of a social media platform, the num…
Discovering patterns of online popularity from time series
Mert Ozer, Anna Sapienza, Andrés Abeliuk +2
How is popularity gained online? Is being successful strictly related to rapidly becoming viral in an online platform or is it possible to acquire popularity in a steady and discip…
Characterizing Activity on the Deep and Dark Web
Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk +3
The deep and darkweb (d2web) refers to limited access web sites that require registration, authentication, or more complex encryption protocols to access them. These web sites serv…
Price of Anarchy in Algorithmic Matching of Romantic Partners
Andrés Abeliuk, Khaled Elbassioni, Talal Rahwan +2
Algorithmic-matching sites offer users access to an unprecedented number of potential mates. However, they also pose a principal-agent problem with a potential moral hazard. The ag…
Discovering Signals from Web Sources to Predict Cyber Attacks
Palash Goyal, KSM Tozammel Hossain, Ashok Deb +5
Cyber attacks are growing in frequency and severity. Over the past year alone we have witnessed massive data breaches that stole personal information of millions of people and wide…
A Computational Model of Commonsense Moral Decision Making
Richard Kim, Max Kleiman-Weiner, Andres Abeliuk +4
We introduce a new computational model of moral decision making, drawing on a recent theory of commonsense moral learning via social dynamics. Our model describes moral dilemmas as…
Superintelligence cannot be contained: Lessons from Computability Theory
Manuel Alfonseca, Manuel Cebrian, Antonio Fernandez Anta +3
Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. In light of recent advances in machine intel…
Interdependent Scheduling Games
Andres Abeliuk, Haris Aziz, Gerardo Berbeglia +7
We propose a model of interdependent scheduling games in which each player controls a set of services that they schedule independently. A player is free to schedule his own service…
Bargaining Mechanisms for One-Way Games
Andres Abeliuk, Gerardo Berbeglia, Pascal Van Hentenryck
We introduce one-way games, a framework motivated by applications in large-scale power restoration, humanitarian logistics, and integrated supply-chains. The distinguishable featur…