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arXiv:2601.18650v2 Announce Type: replace Abstract: Machine unlearning, which aims to efficiently remove the influence of specific data from trained models, is crucial for upholding data...
arXiv:2601.18696v3 Announce Type: replace Abstract: Hardware trojans are malicious circuits which compromise the functionality and security of an integrated circuit (IC). These circuits are manufactured...
arXiv:2601.18936v2 Announce Type: replace Abstract: We study a bi-level online provisioning and scheduling problem motivated by network resource allocation, where provisioning decisions are made at...
arXiv:2601.19657v4 Announce Type: replace Abstract: Diffusion Language Models (DLMs) have emerged as a compelling alternative to autoregressive approaches, enabling parallel text generation with competitive performance....
arXiv:2601.21315v2 Announce Type: replace Abstract: Unsupervised domain adaptation (UDA) is a statistical learning problem when the distribution of training (source) data is different from that...
arXiv:2601.21363v3 Announce Type: replace Abstract: Reinforcement learning (RL) is widely used for humanoid control, with on-policy methods such as Proximal Policy Optimization (PPO) enabling robust...
arXiv:2601.21468v3 Announce Type: replace Abstract: Long-horizon agentic reasoning necessitates effectively compressing growing interaction histories into a limited context window. Most existing memory systems serialize history...
arXiv:2601.22853v2 Announce Type: replace Abstract: Multimodal deep learning (MDL) has achieved remarkable success across various domains, yet its practical deployment is often hindered by incomplete...
arXiv:2602.00774v2 Announce Type: replace Abstract: Against the backdrop of the global green transition and "dual carbon" goals, mining industry chain enterprises are pivotal entities in...
arXiv:2602.01070v2 Announce Type: replace Abstract: Test-time compute scaling allocates inference computation uniformly, uses fixed sampling strategies, and applies verification only for reranking. In contrast, we...
arXiv:2602.01289v2 Announce Type: replace Abstract: Diffusion models have shown remarkable performance in image synthesis by progressively estimating a smooth transition from a Gaussian distribution of...
arXiv:2602.01317v5 Announce Type: replace Abstract: Decentralized Finance (DeFi) has turned blockchains into financial infrastructure, allowing anyone to trade, lend, and build protocols without intermediaries, but...
arXiv:2602.01428v2 Announce Type: replace Abstract: Watermarking is a principled approach for tracing the provenance of large language model (LLM) outputs, but its deployment in practice...
arXiv:2602.01450v3 Announce Type: replace Abstract: To enable personalized and context-aware interactions, conversational AI systems have introduced a new mechanism: Memory. Memory creates what we refer...
arXiv:2602.01524v2 Announce Type: replace Abstract: This paper proposes a novel hybrid control framework for switched linear parameter-varying (LPV) systems under hysteresis switching logic. By introducing...
arXiv:2602.01560v3 Announce Type: replace Abstract: This study proposes Argument Rarity-based Originality Assessment (AROA), a framework for automatically evaluating argumentative originality in student essays. AROA defines...
arXiv:2602.01696v5 Announce Type: replace Abstract: Transmission line defect detection remains challenging for automated UAV inspection due to the dominance of small-scale defects, complex backgrounds, and...
arXiv:2602.02068v3 Announce Type: replace Abstract: The present work addresses the Cauchy problem for an abstract nonlinear system of coupled hyperbolic equations associated with the Timoshenko...
arXiv:2602.02131v2 Announce Type: replace Abstract: Stacked intelligent metasurfaces (SIM) provide a cost-effective and scalable solution for large-scale antenna communications.However, efficient channel state information acquisition and...
arXiv:2602.02853v2 Announce Type: replace Abstract: Equivariant neural networks exploit underlying task symmetries to improve generalization, but strict equivariance constraints can induce more complex optimization dynamics...
arXiv:2602.03003v3 Announce Type: replace Abstract: Social choice has become a foundational component of modern machine learning systems. From auctions and resource allocation to the alignment...
arXiv:2602.03098v2 Announce Type: replace Abstract: Expanding multimodal representations to novel modalities is constrained by reliance on large-scale paired datasets (e.g., text-image, text-audio, text-3D, text-molecule), which...
arXiv:2602.03596v2 Announce Type: replace Abstract: Machine learning-based anomaly detection systems are increasingly being adopted in 5G Core networks to monitor complex, high-volume traffic. However, most...
arXiv:2602.03707v3 Announce Type: replace Abstract: Long-horizon omnimodal question answering answers questions by reasoning over text, images, audio, and video. Despite recent progress on OmniLLMs, low-resource...