
research note
Limit Theory for $N$-Player $α$-Potential Games
This paper develops a rigorous theoretical connection between finite-player $\alpha$-potential games and potential mean field games (MFGs) as the number of players $N$ tends to infinity

research note
This paper develops a rigorous theoretical connection between finite-player $\alpha$-potential games and potential mean field games (MFGs) as the number of players $N$ tends to infinity

research note
This study targets the problem of automated exploration and generation of novel and diverse synthetic sounds for composers and sound designers, overcoming technical skill barriers and enabling sere…

research note
This paper introduces SUPERBROWSER, an autonomous web-navigation agent explicitly designed to mimic human browsing cognition rather than merely accumulating all observations in large prompt context…

research note
This paper presents enhancements to the FOOTPASS baselines for player-centric ball-action spotting in broadcast soccer video, as part of the SoccerNet 2026 challenge

research note
WeaveBench addresses a critical gap in evaluating computer-use agents (CUAs) that must orchestrate complex workflows involving both graphical user interfaces (GUIs) and command-line/code interface …

research note
This study addresses the challenge of understanding which specific prosodic features independently drive sarcasm perception in speech

research note
This paper addresses the cold start problem in proactive resource orchestration for the highly dynamic Cloud-Edge Continuum (CEC), where newly discovered edge nodes have insufficient local telemetr…

research note
This paper addresses the challenge of fragmented delivery and high barriers to reuse of public LiDAR-derived elevation data in Romania

research note
This paper investigates the structural challenges that hinder independent evaluation of consumer-facing large language models (LLMs) designed to provide health-related information

research note
This paper addresses the challenge of detecting AI-generated social media content produced by AI-powered social bots that impersonate real users

research note
This paper tackles the challenge of enabling autonomous object manipulation by quadruped robots in unstructured environments without expert-designed high-level trajectories

research note
This paper addresses the challenging problem of ranking recommendation algorithms fairly and robustly across diverse datasets that differ in characteristics such as sparsity, sequentiality, and scale