Zobrazeno 1 - 10
of 2 544
pro vyhledávání: '"A Voudouris"'
Large Language Models (LLMs) vary in their abilities on a range of tasks. Initiatives such as the $\texttt{Open LLM Leaderboard}$ aim to quantify these differences with several large benchmarks (sets of test items to which an LLM can respond either c
Externí odkaz:
http://arxiv.org/abs/2407.12844
We consider a truthful facility location problem in which there is a set of agents with private locations on the line of real numbers, and the goal is to place a number of facilities at different locations chosen from the set of those reported by the
Externí odkaz:
http://arxiv.org/abs/2405.05197
We consider a voting problem in which a set of agents have metric preferences over a set of alternatives, and are also partitioned into disjoint groups. Given information about the preferences of the agents and their groups, our goal is to decide an
Externí odkaz:
http://arxiv.org/abs/2404.14180
Autor:
Voudouris, Konstantinos, Alhas, Ibrahim, Schellaert, Wout, Mecattaf, Matteo G., Slater, Benjamin, Crosby, Matthew, Holmes, Joel, Burden, John, Chaubey, Niharika, Donnelly, Niall, Patel, Matishalin, Halina, Marta, Hernández-Orallo, José, Cheke, Lucy G.
The Animal-AI Environment is a unique game-based research platform designed to facilitate collaboration between the artificial intelligence and comparative cognition research communities. In this paper, we present the latest version of the Animal-AI
Externí odkaz:
http://arxiv.org/abs/2312.11414
Autor:
Zhou, Lexin, Moreno-Casares, Pablo A., Martínez-Plumed, Fernando, Burden, John, Burnell, Ryan, Cheke, Lucy, Ferri, Cèsar, Marcoci, Alexandru, Mehrbakhsh, Behzad, Moros-Daval, Yael, hÉigeartaigh, Seán Ó, Rutar, Danaja, Schellaert, Wout, Voudouris, Konstantinos, Hernández-Orallo, José
We introduce the fundamental ideas and challenges of Predictable AI, a nascent research area that explores the ways in which we can anticipate key validity indicators (e.g., performance, safety) of present and future AI ecosystems. We argue that achi
Externí odkaz:
http://arxiv.org/abs/2310.06167
Autor:
Burden, John, Voudouris, Konstantinos, Burnell, Ryan, Rutar, Danaja, Cheke, Lucy, Hernández-Orallo, José
As machine learning models become more general, we need to characterise them in richer, more meaningful ways. We describe a method to infer the cognitive profile of a system from diverse experimental data. To do so, we introduce measurement layouts t
Externí odkaz:
http://arxiv.org/abs/2309.11975
We consider a problem where agents have private positions on a line, and public approval preferences over two facilities, and their cost is the maximum distance from their approved facilities. The goal is to decide the facility locations to minimize
Externí odkaz:
http://arxiv.org/abs/2309.05379
We initiate the study of a novel problem in mechanism design without money, which we term Truthful Interval Covering (TIC). An instance of TIC consists of a set of agents each associated with an individual interval on a line, and the objective is to
Externí odkaz:
http://arxiv.org/abs/2309.05377
Recently, strategic games inspired by Schelling's influential model of residential segregation have been studied in the TCS and AI literature. In these games, agents of k different types occupy the nodes of a network topology aiming to maximize their
Externí odkaz:
http://arxiv.org/abs/2305.17757
We consider a social choice setting in which agents and alternatives are represented by points in a metric space, and the cost of an agent for an alternative is the distance between the corresponding points in the space. The goal is to choose a singl
Externí odkaz:
http://arxiv.org/abs/2305.14024