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arXiv:2602.11250v1 Announce Type: new Abstract: Consider $n$ points generated uniformly at random in the unit square, and let $L_n$ be the length of their optimal...
arXiv:2602.11286v1 Announce Type: new Abstract: xAI's large language model, Grok, is called by millions of people each week on the social media platform X. Prior...
arXiv:2602.11291v1 Announce Type: new Abstract: World models are becoming central to robotic planning and control, as they enable prediction of future state transitions. Existing approaches...
arXiv:2602.11292v1 Announce Type: new Abstract: We prove a complete complexity classification theorem for the planar eight-vertex model. For every parameter setting in ${\mathbb C}$ for...
arXiv:2602.11295v1 Announce Type: new Abstract: A computational engine applied to different representations of the same data can produce different discrete outcomes, with some representations preserving...
arXiv:2602.11301v1 Announce Type: new Abstract: Enterprises are rapidly deploying large language models, retrieval augmented generation pipelines, and tool using agents into production, often on shared...
arXiv:2602.11304v1 Announce Type: new Abstract: Modern analyst agents must reason over complex, high token inputs, including dozens of retrieved documents, tool outputs, and time sensitive...
arXiv:2602.11305v1 Announce Type: new Abstract: Misalignment in Large Language Models (LLMs) arises when model behavior diverges from human expectations and fails to simultaneously satisfy safety,...
arXiv:2602.11311v1 Announce Type: new Abstract: When learners receive feedback, what they believe about its source may shape how they engage with it. As AI is...
arXiv:2602.11314v1 Announce Type: new Abstract: The generation of 3D models from real-world objects has often been accomplished through photogrammetry, i.e., by taking 2D photos from...
arXiv:2602.11315v1 Announce Type: new Abstract: Many well-studied learning dynamics, such as fictitious play and the replicator, are known to not converge in general $N$-player games....
arXiv:2602.11316v1 Announce Type: new Abstract: Prediction under uncertainty is a critical requirement for the deep neural network to succeed responsibly. This paper focuses on selective...
arXiv:2602.11318v1 Announce Type: new Abstract: In machine learning, "ground truth" refers to the assumed correct labels used to train and evaluate models. However, the foundational...
arXiv:2602.11319v1 Announce Type: new Abstract: In this paper, we propose a distributed flexible coupler (FC) array to enhance communication performance with low hardware cost. At...
arXiv:2602.11320v1 Announce Type: new Abstract: Neural tangent kernel (NTK) methods are computationally limited by the need to evaluate large Jacobians across many data points. Existing...
arXiv:2602.11321v1 Announce Type: new Abstract: Building a low-latency humanoid teleoperation system is essential for collecting diverse reactive and dynamic demonstrations. However, existing approaches rely on...
arXiv:2602.11322v1 Announce Type: new Abstract: Current approaches to memory in neural systems rely on similarity-based retrieval: given a query, find the most representationally similar stored...
arXiv:2602.11323v1 Announce Type: new Abstract: Traditional monocular Visual-Inertial Odometry (VIO) systems struggle in low-texture environments where sparse visual features are insufficient for accurate pose estimation....
arXiv:2602.11324v1 Announce Type: new Abstract: A key principle in string processing is local consistency: using short contexts to handle matching fragments of a string consistently....
arXiv:2602.11327v1 Announce Type: new Abstract: The rapid development of the AI agent communication protocols, including the Model Context Protocol (MCP), Agent2Agent (A2A), Agora, and Agent...
arXiv:2602.11328v1 Announce Type: new Abstract: As LLMs integrate into our daily lives, understanding their behavior becomes essential. In this work, we focus on behavioral dispositions$-$the...
arXiv:2602.11330v1 Announce Type: new Abstract: We consider the fair division of indivisible items among $n$ agents with additive non-negative normalized valuations, with the goal of...
arXiv:2602.11332v1 Announce Type: new Abstract: In recent years, artificial neural networks have been increasingly studied as feedback controllers for guidance problems. While effective in complex...
arXiv:2602.11339v1 Announce Type: new Abstract: Recent advancements in real-time super-resolution have enabled higher-quality video streaming, yet existing methods struggle with the unique challenges of compressed...