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arXiv:2603.04272v1 Announce Type: new Abstract: Mapping is crucial in robotics for localization and downstream decision-making. As robots are deployed in ever-broader settings, the maps they...
arXiv:2603.04276v1 Announce Type: new Abstract: Large language models (LLMs) are trained on enormous amounts of data and encode knowledge in their parameters. We propose a...
arXiv:2603.04277v1 Announce Type: new Abstract: Autonomous aerial robots operating in GPS-denied or communication-degraded environments frequently lose access to camera metadata and telemetry, leaving onboard perception...
arXiv:2603.04284v1 Announce Type: new Abstract: Autonomous robotic systems are increasingly deployed for mapping, monitoring, and inspection in complex and unstructured environments. However, most existing path...
arXiv:2603.04289v1 Announce Type: new Abstract: Decision transformer based sequential policies have emerged as a powerful paradigm in offline reinforcement learning (RL), yet their efficacy remains...
arXiv:2603.04290v1 Announce Type: new Abstract: We introduce Gaussian Wardrobe, a novel framework to digitalize compositional 3D neural avatars from multi-view videos. Existing methods for 3D...
arXiv:2603.04291v1 Announce Type: new Abstract: Generating high-quality 360{\deg} panoramic videos from perspective input is one of the crucial applications for virtual reality (VR), whereby high-resolution...
arXiv:2603.04292v1 Announce Type: new Abstract: As large language models (LLMs) transition from research prototypes to real-world systems, customization has emerged as a central bottleneck. While...
arXiv:2603.04293v1 Announce Type: new Abstract: The advancement of Machine learning (ML), Large Audio Language Models (LALMs), and autonomous AI agents in Music Information Retrieval (MIR)...
arXiv:2603.04299v1 Announce Type: new Abstract: Large Language Models (LLMs) often exhibit highly agreeable and reinforcing conversational styles, also known as AI-sycophancy. Although this behavior is...
arXiv:2603.04300v1 Announce Type: new Abstract: Foundation models in general promise to accelerate scientific computation by learning reusable representations across problem instances, yet constrained scientific systems,...
arXiv:2603.04301v1 Announce Type: new Abstract: We investigate in-hand rolling manipulation using a multifingered robot hand, where each finger is compliant and equipped with a tactile...
arXiv:2603.04302v1 Announce Type: new Abstract: Face animation deals with controlling and generating facial features with a wide range of applications. The methods based on unsupervised...
arXiv:2603.04304v1 Announce Type: new Abstract: Test-time scaling for complex reasoning tasks shows that leveraging inference-time compute, by methods such as independently sampling and aggregating multiple...
arXiv:2603.04305v1 Announce Type: new Abstract: Agile quadrotor flight pushes the limits of control, actuation, and onboard perception. While time-optimal trajectory planning has been extensively studied,...
arXiv:2603.04307v1 Announce Type: new Abstract: Generating high-fidelity 3D avatars from text or image prompts is highly sought after in virtual reality and human-computer interaction. However,...
arXiv:2603.04308v1 Announce Type: new Abstract: Post-training quantization (PTQ) of transformers is known to suffer from severe accuracy degradation due to structured activation outliers, as originally...
arXiv:2603.04309v1 Announce Type: new Abstract: Accurate characterization of carotid plaques is critical for stroke prevention in patients with carotid stenosis. We analyze 500 plaques from...
arXiv:2603.04312v1 Announce Type: new Abstract: The core is a central concept in multi-winner social choice, ensuring that no coalition of voters can support an alternative...
arXiv:2603.04314v1 Announce Type: new Abstract: Animal re-identification (ReID) faces critical challenges due to viewpoint variations, particularly in Aerial-Ground (AG-ReID) settings where models must match individuals...
arXiv:2603.04316v1 Announce Type: new Abstract: Integral-equation-based fast direct solvers for electromagnetic scattering can substantially reduce computational costs, especially in the presence of multiple excitations. We...
arXiv:2603.04317v1 Announce Type: new Abstract: Recent work interprets the linear recoverability of geographic and temporal variables from large language model (LLM) hidden states as evidence...
arXiv:2603.04319v1 Announce Type: new Abstract: We present a winning three-stage system for SemEval 2026 Task~12: Abductive Event Reasoning that combines graph-based retrieval, LLM-driven abductive reasoning...
arXiv:2603.04320v1 Announce Type: new Abstract: The explosion of multimedia data in information-rich environments has intensified the challenges of personalized content discovery, positioning recommendation systems as...