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arXiv:2602.19416v1 Announce Type: new Abstract: Reinforcement Learning from Human Feedback (RLHF) enables powerful LLM alignment but can introduce reward hacking - models exploit spurious correlations...
arXiv:2602.19418v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) are foundational to modern multimodal applications, yet their susceptibility to adversarial attacks remains a critical concern....
arXiv:2602.19419v1 Announce Type: new Abstract: Concentrated liquidity provision in decentralized exchanges presents a fundamental Impulse Control problem. Liquidity Providers (LPs) face a non-trivial trade-off between...
arXiv:2602.19421v1 Announce Type: new Abstract: Transmission expansion planning in electricity markets is tightly coupled with the strategic bidding behaviors of generation companies. This paper proposes...
arXiv:2602.19422v1 Announce Type: new Abstract: Design-oriented HRI is increasingly interested in robots as long-term companions, yet many designs still assume a fixed form and a...
arXiv:2602.19423v1 Announce Type: new Abstract: Domain adaptive segmentation (DAS) is a promising paradigm for delineating intracellular structures from various large-scale electron microscopy (EM) without incurring...
arXiv:2602.19424v1 Announce Type: new Abstract: Hepatocellular Carcinoma diagnosis relies heavily on the interpretation of gigapixel Whole Slide Images. However, current computational approaches are constrained by...
arXiv:2602.19428v1 Announce Type: new Abstract: This paper proposes a novel computationally efficient algorithm for optimal sizing of Battery Energy Storage Systems (BESS) considering renewable energy...
arXiv:2602.19430v1 Announce Type: new Abstract: Despite the inherent advantages of thermal infrared(TIR) imaging, large-scale data collection and annotation remain a major bottleneck for TIR-based perception....
arXiv:2602.19432v1 Announce Type: new Abstract: This paper presents CountEx, a discriminative visual counting framework designed to address a key limitation of existing prompt-based methods: the...
arXiv:2602.19433v1 Announce Type: new Abstract: iCloud Drive presents a filesystem interface but implements cloud synchronization semantics that diverge from POSIX in fundamental ways. This divergence...
arXiv:2602.19437v1 Announce Type: new Abstract: Underwater fish detection (UFD) is a core capability for smart aquaculture and marine ecological monitoring. While recent detectors improve accuracy...
arXiv:2602.19439v1 Announce Type: new Abstract: Problem Definition. Supply chain optimization models frequently become infeasible because of modeling errors. Diagnosis and repair require scarce OR expertise:...
arXiv:2602.19440v1 Announce Type: new Abstract: Federated transaction management has long been used as a method to virtually integrate multiple databases from a transactional perspective, ensuring...
arXiv:2602.19441v1 Announce Type: new Abstract: Autonomous coding agents increasingly contribute to software development by submitting pull requests on GitHub; yet, little is known about how...
arXiv:2602.19442v1 Announce Type: new Abstract: Aligning vision-language model (VLM) outputs with human preferences in domain-specific tasks typically requires fine-tuning or reinforcement learning, both of which...
arXiv:2602.19444v1 Announce Type: new Abstract: Understanding the conformational evolution of $\beta$-amyloid ($A\beta$), particularly the $A\beta_{42}$ isoform, is fundamental to elucidating the pathogenic mechanisms underlying Alzheimer's...
arXiv:2602.19446v1 Announce Type: new Abstract: The open-source software (OSS) community has historically been dominated by English as the primary language for code, documentation, and developer...
arXiv:2602.19449v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) use their vision encoders to translate images into representations for downstream reasoning, but the encoders often...
arXiv:2602.19450v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs) (e.g., Intel SGX and ArmTrustZone) aim to protect sensitive computation from a compromised operating system, yet...
arXiv:2602.19452v1 Announce Type: new Abstract: The recent hardware trend towards reduced precision computing has reignited the interest in numerical techniques that can be used to...
arXiv:2602.19454v1 Announce Type: new Abstract: Standard Test-Time Adaptation (TTA) methods typically treat inference as a blind optimization task, applying generic objectives to all or filtered...
arXiv:2602.19455v1 Announce Type: new Abstract: Time-series diagnostic reasoning is essential for many applications, yet existing solutions face a persistent gap: general reasoning large language models...
arXiv:2602.19457v1 Announce Type: new Abstract: In this paper, we develop a new multiphysics finite element method for a nonlinear poroelastic model with Hencky-Mises stress tensor....