Stay updated with the latest research and technology news
arXiv:2602.16106v1 Announce Type: new Abstract: Code translation, the automatic conversion of programs between languages, is a growing use case for Large Language Models (LLMs). However,...
arXiv:2602.16109v1 Announce Type: new Abstract: Cross-border insider threats pose a critical challenge to government financial schemes, particularly when dealing with distributed, privacy-sensitive data across multiple...
arXiv:2602.16110v1 Announce Type: new Abstract: Computed Tomography (CT) is one of the most widely used and diagnostically information-dense imaging modalities, covering critical organs such as...
arXiv:2602.16112v1 Announce Type: new Abstract: Vehicle dwelling has increased significantly in recent years. While HCI research has explored vehicle dwelling through the lens of digital...
arXiv:2602.16113v1 Announce Type: new Abstract: Large Language Models cannot reliably acquire new knowledge post-deployment -- even when relevant text resources exist, models fail to transform...
arXiv:2602.16120v1 Announce Type: new Abstract: This paper introduces and demonstrates a computational pipeline for the statistical analysis of shape graph datasets, namely geometric networks embedded...
arXiv:2602.16123v1 Announce Type: new Abstract: The recent proliferation of artificial intelligence and machine learning (AI/ML) systems highlights the need for all people to develop effective...
arXiv:2602.16124v1 Announce Type: new Abstract: Approximate nearest neighbor (ANN) search is widely used in the retrieval stage of large-scale recommendation systems. In this stage, candidate...
arXiv:2602.16125v1 Announce Type: new Abstract: Learning with shared representation is widely recognized as an effective way to separate commonalities from heterogeneity across various heterogeneous sources....
arXiv:2602.16127v1 Announce Type: new Abstract: We present a hybrid learning and model-based approach that adapts internal grasp forces to halt in-hand slip on a multifingered...
arXiv:2602.16130v1 Announce Type: new Abstract: Open Web 3.0 platforms increasingly operate as \emph{service ecosystems} (e.g., DeFi, DAOs, and decentralized social applications) where \emph{admission control} and...
arXiv:2602.16132v1 Announce Type: new Abstract: Text-to-video diffusion models deliver impressive results but remain slow because of the sequential denoising of 3D latents. Existing approaches to...
arXiv:2602.16136v1 Announce Type: new Abstract: The rapid proliferation of AI-generated content on the Web presents a structural risk to information retrieval, as search engines and...
arXiv:2602.16138v1 Announce Type: new Abstract: We introduce IRIS (Intent Resolution via Inference-time Saccades), a novel training-free approach that uses eye-tracking data in real-time to resolve...
arXiv:2602.16140v1 Announce Type: new Abstract: This study aimed to comprehend how user domain knowledge and artificial intelligence (AI) literacy impact the effective use of human-AI...
arXiv:2602.16143v1 Announce Type: new Abstract: Probabilistic bits (p-bits) offer an energy-efficient hardware abstraction for stochastic optimization; however, existing p-bit-based simulated annealing accelerators suffer from poor...
arXiv:2602.16144v1 Announce Type: new Abstract: As multimodal systems increasingly process sensitive personal data, the ability to selectively revoke specific data modalities has become a critical...
arXiv:2602.16145v1 Announce Type: new Abstract: There are a number of existing studies analysing the convergence behaviour of graph neural networks on large random graphs. Unfortunately,...
arXiv:2602.16147v1 Announce Type: new Abstract: Cross-subject generalization in EEG-based brain-computer interfaces (BCIs) remains challenging due to individual variability in neural signals. We investigate whether spectral...
arXiv:2602.16149v1 Announce Type: new Abstract: Demographic bias in text-to-image (T2I) generation is well studied, yet demographic-conditioned failures in instruction-guided image-to-image (I2I) editing remain underexplored. We...
arXiv:2602.16153v1 Announce Type: new Abstract: We consider the single-source shortest paths problem on a directed graph with real-valued (possibly negative) edge weights and solve this...
arXiv:2602.16154v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning sometimes fails to faithfully reflect the true computation of a large language model (LLM), hampering its utility...
arXiv:2602.16155v1 Announce Type: new Abstract: Real-world deployments routinely face distribution shifts, group imbalances, and adversarial perturbations, under which the traditional Empirical Risk Minimization (ERM) framework...
arXiv:2602.16156v1 Announce Type: new Abstract: We study the implications of the existence of weak Zero-Knowledge (ZK) protocols for worst-case hard languages. These are protocols that...