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arXiv:2602.11084v1 Announce Type: new Abstract: Feature selection remains a major challenge in medical prediction, where existing approaches such as LASSO often lack robustness and interpretability....
arXiv:2602.11086v1 Announce Type: new Abstract: Biometric footstep recognition, based on a person's unique pressure patterns under their feet during walking, is an emerging field with...
arXiv:2602.11087v1 Announce Type: new Abstract: Offline RL algorithms aim to improve upon the behavior policy that produces the collected data while constraining the learned policy...
arXiv:2602.11088v1 Announce Type: new Abstract: The deployment of large language models (LLMs) on third-party devices requires new ways to protect model intellectual property. While Trusted...
arXiv:2602.11089v1 Announce Type: new Abstract: In the current landscape of Large Language Models (LLMs), the curation of large-scale, high-quality training data is a primary driver...
arXiv:2602.11090v1 Announce Type: new Abstract: Neural PDE surrogates are often deployed in data-limited or partially observed regimes where downstream decisions depend on calibrated uncertainty in...
arXiv:2602.11091v1 Announce Type: new Abstract: Misalignment in Large Language Models (LLMs) refers to the failure to simultaneously satisfy safety, value, and cultural dimensions, leading to...
arXiv:2602.11092v1 Announce Type: new Abstract: Identifying where quantum models may offer practical benefits in near term quantum machine learning (QML) requires moving beyond isolated algorithmic...
arXiv:2602.11096v1 Announce Type: new Abstract: Reinforcement learning (RL) based post-training for explicit chain-of-thought (e.g., GRPO) improves the reasoning ability of multimodal large-scale reasoning models (MLRMs)....
arXiv:2602.11097v1 Announce Type: new Abstract: We study the training and performance of physics-informed learning for initial and boundary value problems (IBVP) with physics-informed neural networks...
arXiv:2602.11099v1 Announce Type: new Abstract: Enormous fluid antenna systems (E-FAS), the system concept that utilizes position reconfigurability in the large scale, have emerged as a...
arXiv:2602.11102v1 Announce Type: new Abstract: The five Regional Internet Registries (RIRs) provide the critical function of IP address resource del egation and registration. The accuracy...
arXiv:2602.11103v1 Announce Type: new Abstract: Despite rapid progress on coding agents, progress on their multimodal counterparts has lagged behind. A key challenge is the scarcity...
arXiv:2602.11105v1 Announce Type: new Abstract: Flow-matching models deliver state-of-the-art fidelity in image and video generation, but the inherent sequential denoising process renders them slower. Existing...
arXiv:2602.11106v1 Announce Type: new Abstract: Misinformation detection is a critical task that can benefit significantly from the integration of external knowledge, much like manual fact-checking....
arXiv:2602.11109v1 Announce Type: new Abstract: Kruse and Wu [Math. Comp. 88 (2019) 2793--2825] proposed a fully discrete randomized Galerkin finite element method for semilinear stochastic...
arXiv:2602.11113v1 Announce Type: new Abstract: We present a novel receding-horizon multi-contact motion planner for legged robots in challenging scenarios, able to plan motions such as...
arXiv:2602.11114v1 Announce Type: new Abstract: Automatically generating agentic workflows -- executable operator graphs or codes that orchestrate reasoning, verification, and repair -- has become a...
arXiv:2602.11116v1 Announce Type: new Abstract: Accurate localization of maritime targets by unmanned aerial vehicles (UAVs) remains challenging in GPS-denied environments. UAVs equipped with gimballed electro-optical...
arXiv:2602.11117v1 Announce Type: new Abstract: We present HairWeaver, a diffusion-based pipeline that animates a single human image with realistic and expressive hair dynamics. While existing...
arXiv:2602.11123v1 Announce Type: new Abstract: Accelerating the discovery of high-performance materials remains a central challenge across energy, electronics, and aerospace technologies, where traditional workflows depend...
arXiv:2602.11124v1 Announce Type: new Abstract: With the rapid development of large multimodal models, reliable judge and critic models have become essential for open-ended evaluation and...
arXiv:2602.11125v1 Announce Type: new Abstract: We study the \textit{min-sum uniform coverage} problem for a swarm of $n$ mobile robots on a given finite line segment...
arXiv:2602.11126v1 Announce Type: new Abstract: Offline multi-objective optimization (MOO) aims to recover Pareto-optimal designs given a finite, static dataset. Recent generative approaches, including diffusion models,...