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arXiv:2508.17261v2 Announce Type: replace Abstract: Identifying quantum flakes is crucial for scalable quantum hardware; however, automated layer classification from optical microscopy remains challenging due to...
arXiv:2508.18395v3 Announce Type: replace Abstract: Probabilistic decoding in Large Language Models (LLMs) often yields inconsistent outputs, particularly on complex or long-form questions. Self-Consistency (SC) mitigates...
arXiv:2508.20340v2 Announce Type: replace Abstract: Satisfiability Modulo Theory (SMT) solvers are foundational to modern systems and programming languages research, providing the foundation for tasks like...
arXiv:2508.21048v2 Announce Type: replace Abstract: Deepfake detection remains a formidable challenge due to the complex and evolving nature of fake content in real-world scenarios. However,...
arXiv:2509.00104v3 Announce Type: replace Abstract: The advent of quantum computing poses a critical threat to RSA cryptography, as Shor's algorithm can factor integers in polynomial...
arXiv:2509.01986v3 Announce Type: replace Abstract: In recent years, integrating multimodal understanding and generation into a single unified model has emerged as a promising paradigm. While...
arXiv:2509.04936v2 Announce Type: replace Abstract: Reasoning about floating-point arithmetic is notoriously hard. While static and dynamic analysis techniques or program repair have made significant progress,...
arXiv:2509.07021v3 Announce Type: replace Abstract: 3D Gaussian Splatting (3DGS) has emerged as a dominant novel-view synthesis technique, but its high memory consumption severely limits its...
arXiv:2509.07375v3 Announce Type: replace Abstract: Generative AI (GenAI) systems and chatbots rely on vast corpora of consumer data. The use of such data for training...
arXiv:2509.13109v2 Announce Type: replace Abstract: This paper introduces a learning-based control framework for a soft robotic actuator system designed to modulate intracranial pressure (ICP) waveforms,...
arXiv:2509.14189v3 Announce Type: replace Abstract: Peer review remains the central quality-control mechanism of science, yet its ability to fulfill this role is increasingly strained. Empirical...
arXiv:2509.15836v3 Announce Type: replace Abstract: When AI systems allow human-like communication, they elicit increasingly complex relational responses. Knowledge workers face a particular challenge: They approach...
arXiv:2509.17010v2 Announce Type: replace Abstract: This paper presents a novel Koopman operator formulation for Euler Lagrangian dynamics that employs an implicit generalized momentum-based state space...
arXiv:2509.18522v2 Announce Type: replace Abstract: A central challenge in analyzing multivariate interactions within complex systems is to decompose how multiple inputs jointly determine an output....
arXiv:2509.19955v2 Announce Type: replace Abstract: Federated Recommendation (FR) is a new learning paradigm to tackle the learn-to-rank problem in a privacy-preservation manner. How to integrate...
arXiv:2509.20067v4 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated notable potential in medical applications, yet they face substantial challenges in handling complex real-world...
arXiv:2509.21021v2 Announce Type: replace Abstract: Constraint-based causal discovery relies on numerous conditional independence tests (CITs), but its practical applicability is severely constrained by the prohibitive...
arXiv:2509.22215v2 Announce Type: replace Abstract: Security verification of communication protocols in industrial and safety-critical systems is challenging because implementations are often proprietary, accessible only as...
arXiv:2509.22271v2 Announce Type: replace Abstract: Human autonomy and sense of agency are increasingly recognised as critical for user well-being, motivation, and the ethical deployment of...
arXiv:2509.22353v2 Announce Type: replace Abstract: The capability of predicting environmental dynamics underpins both biological neural systems and general embodied AI in adapting to their surroundings....
arXiv:2509.22562v3 Announce Type: replace Abstract: In independent, identically distributed (i.i.d.) training regimes, activation functions have been benchmarked extensively, and their differences often shrink once model...
arXiv:2509.23159v4 Announce Type: replace Abstract: While deep learning has achieved impressive performance in time series forecasting, it becomes increasingly crucial to understand its decision-making process...
arXiv:2509.23249v3 Announce Type: replace Abstract: It is often possible to perform reduced order modelling by specifying linear subspace which accurately captures the dynamics of the...
arXiv:2509.23371v2 Announce Type: replace Abstract: Preference optimization is crucial for aligning large language models (LLMs) with human values and intentions. A significant challenge in this...