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The problem of team formation in a social network asks for a set of individuals who not only have the required skills to perform a task but who can also communicate effectively with each other. Existing work assumes that all links in a…

Data Structures and Algorithms · Computer Science 2020-10-29 Ioannis Kouvatis , Konstantinos Semertzidis , Maria Zerva , Evaggelia Pitoura , Panayiotis Tsaparas

In an organization, tasks called projects that require several skills, are generally assigned to teams rather than individuals. The problem of choosing a right team for a given task with minimal communication cost is known as team formation…

Social and Information Networks · Computer Science 2020-08-26 Ramesh Bobby Addanki , Durga Bhavani S

Incorporating fresh members in teams is considered a pathway to team creativity. However, whether freshness improves team performance or not remains unclear, as well as the optimal involvement of fresh members for team performance. This…

Digital Libraries · Computer Science 2022-05-19 Meijun Liu , Ajay Jaiswal , Yi Bu , Chao Min , Sijie Yang , Zhibo Liu , Daniel Daniel Acuña , Ying Ding

Imagine we want to split a group of agents into teams in the most \emph{efficient} way, considering that each agent has their own preferences about their teammates. This scenario is modeled by the extensively studied \textsc{Coalition…

Data Structures and Algorithms · Computer Science 2025-05-29 Foivos Fioravantes , Harmender Gahlawat , Nikolaos Melissinos

Submodular function optimization has numerous applications in machine learning and data analysis, including data summarization which aims to identify a concise and diverse set of data points from a large dataset. It is important to…

Data Structures and Algorithms · Computer Science 2023-04-11 Shaojie Tang , Jing Yuan , Twumasi Mensah-Boateng

The recruitment of new personnel is one of the most essential business processes which affect the quality of human capital within any company. It is highly essential for the companies to ensure the recruitment of right talent to maintain a…

Machine Learning · Computer Science 2015-04-09 Gaurav Singh Thakur , Anubhav Gupta , Sangita Gupta

Crowdsourcing and human computation has been employed in increasingly sophisticated projects that require the solution of a heterogeneous set of tasks. We explore the challenge of building or hiring an effective team, for performing tasks…

Human-Computer Interaction · Computer Science 2015-08-14 Adish Singla , Eric Horvitz , Pushmeet Kohli , Andreas Krause

Nowadays the composition and formation of effective teams is highly important for both companies to assure their competitiveness and for a wide range of emerging applications exploiting multiagent collaboration (e.g. crowdsourcing,…

Multiagent Systems · Computer Science 2016-10-28 Ewa Andrejczuk , Rita Berger , Juan A. Rodriguez-Aguilar , Carles Sierra , Víctor Marín-Puchades

Coalition formation is a key capability in multi-agent systems. An important problem in coalition formation is coalition structure generation: partitioning agents into coalitions to optimize the social welfare. This is a challenging problem…

Multiagent Systems · Computer Science 2024-07-24 Redha Taguelmimt , Samir Aknine , Djamila Boukredera , Narayan Changder , Tuomas Sandholm

Automated Team Formation is becoming increasingly important for a plethora of applications in open source community projects, remote working platforms, as well as online educational systems. The latter case, in particular, poses significant…

Computers and Society · Computer Science 2020-11-24 Maria Kalantzi , Agoritsa Polyzou , George Karypis

Task allocation using a team or coalition of robots is one of the most important problems in robotics, computer science, operational research, and artificial intelligence. In recent work, research has focused on handling complex objectives…

Robotics · Computer Science 2022-07-21 Haris Aziz , Arindam Pal , Ali Pourmiri , Fahimeh Ramezani , Brendan Sims

Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from negative transfer, leading to performance degradation in…

Machine Learning · Computer Science 2024-12-10 Anshul Thakur , Yichen Huang , Soheila Molaei , Yujiang Wang , David A. Clifton

Tackling complex team problems requires understanding each team member's skills in order to devise a task assignment maximizing the team performance. This paper proposes a novel quantitative model describing the decentralized process by…

Social and Information Networks · Computer Science 2020-08-25 Elizabeth Y. Huang , Dario Paccagnan , Wenjun Mei , Francesco Bullo

Schema matching is a core data integration task, focusing on identifying correspondences among attributes of multiple schemata. Numerous algorithmic approaches were suggested for schema matching over the years, aiming at solving the task…

Databases · Computer Science 2023-08-04 Matan Solomon , Bar Genossar , Roee Shraga , Avigdor Gal

Pairwise human-preference platforms such as Chatbot Arena have become central to large language model (LLM) evaluation, yet reliable task-specific ranking remains challenging. Global leaderboards mask task heterogeneity, while ranking each…

Methodology · Statistics 2026-05-29 Jiachun Li , David Simchi-Levi , Will Wei Sun

In this paper, we propose the novel problem of Subteam Replacement: given a team of people embedded in a social network to complete a certain task, and a subset of members - subteam - in this team which have become unavailable, find another…

Social and Information Networks · Computer Science 2021-11-12 Zhaoheng Li , Xinyu Pi , Mingyuan Wu , Hanghang Tong

There have been recent calls for research on the human side of software engineering and its impact on various factors such as productivity, developer happiness and project success. An analysis of which challenges in software engineering…

Software Engineering · Computer Science 2022-02-01 Marco Hoffmann , Daniel Mendez , Fabian Fagerholm , Anton Luckhardt

Team formation is a core problem in AI. Remarkably, little prior work has addressed the problem of mechanism design for team formation, accounting for the need to elicit agents' preferences over potential teammates. Coalition formation in…

Computer Science and Game Theory · Computer Science 2015-01-06 Mason Wright , Yevgeniy Vorobeychik

Team formation is ubiquitous in many sectors: education, labor markets, sports, etc. A team's success depends on its members' latent types, which are not directly observable but can be (partially) inferred from past performances. From the…

Computer Science and Game Theory · Computer Science 2022-10-18 Matthew Eichhorn , Siddhartha Banerjee , David Kempe

As the volume and complexity of distributed online work increases, the collaboration among people who have never worked together in the past is becoming increasingly necessary. Recent research has proposed algorithms to maximize the…