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arXiv:2602.21535v1 Announce Type: new Abstract: 3D scene reconstruction under unposed sparse viewpoints is a highly challenging yet practically important problem, especially in outdoor scenes due...
arXiv:2602.21536v1 Announce Type: new Abstract: Retrospective MRI harmonization is limited by poor scalability across modalities and reliance on traveling subject datasets. To address these challenges,...
arXiv:2602.21539v1 Announce Type: new Abstract: Accurate Couinaud liver segmentation is critical for preoperative surgical planning and tumor localization.However, existing methods primarily rely on image intensity...
arXiv:2602.21543v1 Announce Type: new Abstract: Multilingual pretraining typically lacks explicit alignment signals, leading to suboptimal cross-lingual alignment in the representation space. In this work, we...
arXiv:2602.21545v1 Announce Type: new Abstract: The Muon optimizer has demonstrated promising performance in pre-training large language models through gradient (or momentum) orthogonalization. In this work,...
arXiv:2602.21546v1 Announce Type: new Abstract: The Flexible Job Shop Problem (FJSP) is a well-studied combinatorial optimization problem with extensive applications for manufacturing and production scheduling....
arXiv:2602.21547v1 Announce Type: new Abstract: The scaling of Large Language Model (LLM) services faces significant cost and latency challenges, making effective caching under tight capacity...
arXiv:2602.21548v1 Announce Type: new Abstract: The performance of multi-turn, agentic LLM inference is increasingly dominated by KV-Cache storage I/O rather than computation. In prevalent disaggregated...
arXiv:2602.21550v1 Announce Type: new Abstract: Gene expression prediction, which predicts mRNA expression levels from DNA sequences, presents significant challenges. Previous works often focus on extending...
arXiv:2602.21551v1 Announce Type: new Abstract: Learning PDE dynamics for fluids increasingly relies on neural operators and Transformer-based models, yet these approaches often lack interpretability and...
arXiv:2602.21552v1 Announce Type: new Abstract: Accurate 3D scene understanding is essential for embodied intelligence, with occupancy prediction emerging as a key task for reasoning about...
arXiv:2602.21553v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems rely critically on the retriever module to surface relevant context for large language models. Although numerous...
arXiv:2602.21556v1 Announce Type: new Abstract: When designing compound AI systems, a common approach is to query multiple copies of the same model and aggregate the...
arXiv:2602.21557v1 Announce Type: new Abstract: The Cai--F\"urer--Immerman (CFI) construction provides the canonical family of hard instances for the Weisfeiler--Leman (WL) hierarchy: distinguishing the two non-isomorphic...
arXiv:2602.21558v1 Announce Type: new Abstract: Terahertz (THz) communications has emerged as a promising technology for future wireless systems due to its potential to support extremely...
arXiv:2602.21565v1 Announce Type: new Abstract: Generative Flow Networks (GFlowNets) learn to sample diverse candidates in proportion to a reward function, making them well-suited for scientific...
arXiv:2602.21566v1 Announce Type: new Abstract: Geo-distribution is essential for modern online applications to ensure service reliability and high availability. However, supporting high-performance serializable transactions in...
arXiv:2602.21567v1 Announce Type: new Abstract: While the rapid proliferation of electric vehicles (EVs) accelerates net-zero goals, uncoordinated charging activities impose severe operational challenges on distribution...
arXiv:2602.21568v1 Announce Type: new Abstract: Developer Productivity Dashboards are essential for visualizing DevOps performance metrics such as Deployment Frequency and Change Failure Rate (DORA). However,...
arXiv:2602.21574v1 Announce Type: new Abstract: This paper proposes a finite element scheme, based on the Scalar Auxiliary Variable (SAV) approach, for the Cahn-Hilliard equation--a model...
arXiv:2602.21581v1 Announce Type: new Abstract: Pose-guided human image animation aims to synthesize realistic videos of a reference character driven by a sequence of poses. While...
arXiv:2602.21583v1 Announce Type: new Abstract: Tilt-rotor aerial robots enable omnidirectional maneuvering through thrust vectoring, but introduce significant control challenges due to the strong coupling between...
arXiv:2602.21584v1 Announce Type: new Abstract: In the context of the evolution of artificial intelligence (AI), the interaction between humans and AI entities has become increasingly...
arXiv:2602.21585v1 Announce Type: new Abstract: Many applications seek to optimize LLM outputs at test time by iteratively proposing, scoring, and refining candidates over a discrete...