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Found 8 papers, 2 papers with code
Do LLM Agents Exhibit Social Behavior?
Recent social science research has explored the use of these ``black-box'' LLM agents for simulating complex social systems and potentially substituting human subjects in experiments.
Learning to Infer Structures of Network Games
We adopt a transformer-like architecture which correctly accounts for the symmetries of the problem and learns a mapping from the equilibrium actions to the network structure of the game without explicit knowledge of the utility function.
Learning to Infer the Structure of Network Games
Strategic interactions between a group of individuals or organisations can be modelled as games played on networks, where a player's payoff depends not only on their actions but also on those of their neighbors.
Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective
Recommender systems (RS) are ubiquitous in the digital space.
Ranked #1 on
Recommendation Systems
on YahooMusic Monti
(using extra training data)
Interpretable Stochastic Block Influence Model: measuring social influence among homophilous communities
While homophily drives the formation of communities with similar characteristics, social influence occurs both within and between communities.
Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements
COVID-19 resulted in an infodemic, which could erode public trust, impede virus containment, and outlive the pandemic itself.
Social and Information Networks Computers and Society
Learning Quadratic Games on Networks
Individuals, or organizations, cooperate with or compete against one another in a wide range of practical situations.
Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies
We draw upon a previously largely untapped literature on human collective intelligence as a source of inspiration for improving deep learning.
