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arXiv:2601.17391v1 Announce Type: new Abstract: Event cameras action recognition (EAR) offers compelling privacy-protecting and efficiency advantages, where temporal motion dynamics is of great importance. Existing...
arXiv:2601.17396v1 Announce Type: new Abstract: Early-stage degradation in oscillatory systems often manifests as geometric distortions of the dynamics, such as phase jitter, frequency drift, or...
arXiv:2601.17397v1 Announce Type: new Abstract: Knowledge Editing (KE) has emerged as a promising paradigm for updating facts in Large Language Models (LLMs) without retraining. However,...
arXiv:2601.17399v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved rapid progress in Chinese language understanding, yet accurately evaluating their capabilities remains challenged by...
arXiv:2601.17404v1 Announce Type: new Abstract: Shared control improves Human-Robot Interaction by reducing the user's workload and increasing the robot's autonomy. It allows robots to perform...
arXiv:2601.17405v1 Announce Type: new Abstract: Precision pathology relies on detecting fine-grained morphological abnormalities within specific Regions of Interest (ROIs), as these local, texture-rich cues -...
arXiv:2601.17406v1 Announce Type: new Abstract: AI coding agents are reshaping software development through both autonomous and human-mediated pull requests (PRs). When developers use AI agents...
arXiv:2601.17407v1 Announce Type: new Abstract: Fast and accurate surrogates for physics-driven partial differential equations (PDEs) are essential in fields such as aerodynamics, porous media design,...
arXiv:2601.17408v1 Announce Type: new Abstract: Source-Free Domain Adaptation (SFDA) is an emerging area of research that aims to adapt a model trained on a labeled...
arXiv:2601.17412v1 Announce Type: new Abstract: We propose a novel Unmanned Aerial Vehicles (UAV) assisted creative capture system that leverages diffusion models to interpret high-level natural...
arXiv:2601.17413v1 Announce Type: new Abstract: AI agents are increasingly used in software development, yet their interaction with CI/CD configurations is not well studied. We analyze...
arXiv:2601.17414v1 Announce Type: new Abstract: The proliferation of Internet of Things (IoT) devices has created unprecedented opportunities for remote monitoring and control applications across various...
arXiv:2601.17417v1 Announce Type: new Abstract: Detecting misogynistic hate speech is a difficult algorithmic task. The task is made more difficult when decision criteria for what...
arXiv:2601.17418v1 Announce Type: new Abstract: Mobile graphical user interface (GUI) agents are designed to automate everyday tasks on smartphones. Recent advances in large language models...
arXiv:2601.17420v1 Announce Type: new Abstract: Existing works of reasoning segmentation often fall short in complex cases, particularly when addressing complicated queries and out-of-domain images. Inspired...
arXiv:2601.17421v1 Announce Type: new Abstract: The emergence of discourse-like tokens such as "wait" and "therefore" in large language models (LLMs) has offered a unique window...
arXiv:2601.17422v1 Announce Type: new Abstract: Modular composition is the problem of computing the composition of two univariate polynomials modulo a third one. For a long...
arXiv:2601.17423v1 Announce Type: new Abstract: This paper optimizes the fronthaul bit allocation in massive multi-user multiple-input multiple-output (MU-MIMO) systems operating with limited-capacity fronthaul links. We...
arXiv:2601.17425v1 Announce Type: new Abstract: This paper considers the scheduling of stochastic jobs on parallel identical machines to minimize the expected total weighted completion time....
arXiv:2601.17426v1 Announce Type: new Abstract: Human logic has gradually shifted from intuition-driven inference to rigorous formal systems. Motivated by recent advances in large language models...
arXiv:2601.17428v1 Announce Type: new Abstract: Curriculum learning has demonstrated substantial effectiveness in robot learning. However, it still faces limitations when scaling to complex, wide-ranging task...
arXiv:2601.17430v1 Announce Type: new Abstract: We study the problem of identifying an anomalous subset of streams under correlated noise, motivated by monitoring and security in...
arXiv:2601.17431v1 Announce Type: new Abstract: The adoption of Large Language Models (LLMs) in scientific writing promises efficiency but risks introducing informational entropy. While "hallucinated papers"...
arXiv:2601.17432v1 Announce Type: new Abstract: We introduce an efficient algorithmic procedure for implementing the direct formula that represents the product of splines in the B-spline...