Oracle-Efficient Combinatorial Semi-Bandits
arXiv:2510.21431v2 Announce Type: replace Abstract: We study the combinatorial semi-bandit problem where an agent selects a subset of base arms and receives individual feedback. While this…
arXiv:2510.21431v2 Announce Type: replace Abstract: We study the combinatorial semi-bandit problem where an agent selects a subset of base arms and receives individual feedback. While this…
arXiv:2607.09708v1 Announce Type: new Abstract: Solving large-scale instances of the Traveling Salesman Problem (TSP) exactly is computationally expensive. Researchers often employ graph sparsification methods to improve…
arXiv:2607.04605v2 Announce Type: replace-cross Abstract: Multi-vector vision-language retrieval preserves fine-grained visual evidence through maximum-similarity late interaction, but dense image-side tokens make storage and scoring expensive. Existing…
arXiv:2505.13353v5 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed for understanding large codebases, but whether they understand operational semantics of long code context…
arXiv:2607.09768v1 Announce Type: new Abstract: In this paper, we present the first (to the best of our knowledge) demonstration of a low-power MCU-based edge device for…
arXiv:2607.09811v1 Announce Type: new Abstract: We present a framework for understanding and generating feature rich hair strands. Drawing upon both scientific and cultural expertise, we define…
arXiv:2607.11030v1 Announce Type: cross Abstract: Multimodal information is pivotal for e-commerce search ranking. Existing works leverage multimodal data typically by fine-tuning general Multimodal Large Language Models…
arXiv:2607.11445v1 Announce Type: cross Abstract: A substantial number of patients experience diminished mobility due to disabilities, diseases, or accidents. Although modern prostheses, powered by deep neural…
arXiv:2607.10589v1 Announce Type: new Abstract: In contrast to most studies on neural network approximation theory that characterize results through a single parameter, such as the total…
arXiv:2607.10128v1 Announce Type: cross Abstract: Recursive reasoning models address structured problems by repeatedly updating latent states of small neural networks. However, their test-time scaling lacks a…
arXiv:2607.09698v1 Announce Type: new Abstract: Recent latent reasoning methods, such as CODI and COCONUT, face a fundamental interpretability problem: they maintain multiple superimposed candidate traces in…
arXiv:2607.10345v1 Announce Type: cross Abstract: Recent studies on partial audio spoofing mainly focus on studio-recorded speech with temporal localization of spoofed segments. However, these studies often…
arXiv:2607.10194v1 Announce Type: new Abstract: We present IsalHG, a method for representing the structure of any finite, connected hypergraph of bounded hyperedge arity as a string…
arXiv:2607.09777v1 Announce Type: new Abstract: Multi-Modal Knowledge Graphs (MMKGs) enrich entities with multiple modalities such as text and images, yet entities with highly similar multi-modal features…
arXiv:2607.03682v2 Announce Type: replace-cross Abstract: Convection-dominated convection-diffusion problems often develop thin layers, where the solution has sharp transition profiles and its derivatives are highly localized. This…
arXiv:2607.09694v1 Announce Type: new Abstract: Attention Residuals replace the fixed residual sum with depthwise attention over previous sub-layer outputs in large language models (LLMs), but use…
arXiv:2607.10021v1 Announce Type: cross Abstract: Neural networks can learn algorithmic input-output mappings, but trusting a learned executor requires more than a correct final answer because the…
arXiv:2607.10618v1 Announce Type: new Abstract: We consider the recovery of a pair of sparse vectors from a limited number of nonlinear observations of their superposition: $y_i=g(inner{ba_i}{bPhibw^ast+bPsibz^ast})+e_i$,…
arXiv:2607.09689v1 Announce Type: new Abstract: To leading order under local asymptotic normality (LAN), the confidence density a worker emits over a chunk of size $n$ is…
arXiv:2512.15376v2 Announce Type: replace-cross Abstract: Recognition of signers' emotions suffers from one theoretical challenge and one practical challenge, namely, the overlap between grammatical and affective facial…
arXiv:2602.23993v2 Announce Type: replace Abstract: We present gradiend, an open-source Python package that operationalizes the GRADIEND method for learning feature directions from factual-counterfactual MLM and CLM…
arXiv:2607.09763v1 Announce Type: new Abstract: Engineering shape optimization faces challenges in both expert-dependent problem setup and surrogate-model reliability. In practical aerodynamic design, optimization settings such as…
arXiv:2601.15995v2 Announce Type: replace-cross Abstract: Parkour tasks for quadrupeds have emerged as a promising benchmark for agile locomotion. While human athletes can effectively perceive environmental characteristics…
arXiv:2607.11686v1 Announce Type: cross Abstract: Low-cost unmanned ground vehicles are often used in indoor places like warehouses, inspection corridors, and farm rows, where painted floor lines…