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arXiv:2602.15645v1 Announce Type: new Abstract: Foundation models, including vision language models, are increasingly used in automated driving to interpret scenes, recommend actions, and generate natural...
arXiv:2602.15648v1 Announce Type: new Abstract: Inverse design problems are common in engineering and materials science. The forward direction, i.e., computing output quantities from design parameters,...
arXiv:2602.15649v1 Announce Type: new Abstract: In dynamical systems reconstruction (DSR) we aim to recover the dynamical system (DS) underlying observed time series. Specifically, we aim...
arXiv:2602.15650v1 Announce Type: new Abstract: Radiology Report Generation (RRG) through Vision-Language Models (VLMs) promises to reduce documentation burden, improve reporting consistency, and accelerate clinical workflows....
arXiv:2602.15651v1 Announce Type: new Abstract: This work considers merging two independent models, TTS and A2F, into a unified model to enable internal feature transfer, thereby...
arXiv:2602.15654v1 Announce Type: new Abstract: Self-evolving LLM agents update their internal state across sessions, often by writing and reusing long-term memory. This design improves performance...
arXiv:2602.15656v1 Announce Type: new Abstract: The strawberry (Fragaria x ananassa), known worldwide for its economic value and nutritional richness, is a widely cultivated fruit. Determining...
arXiv:2602.15659v1 Announce Type: new Abstract: The scarcity of high-quality training data presents a fundamental bottleneck to scaling machine learning models. This challenge is particularly acute...
arXiv:2602.15660v1 Announce Type: new Abstract: Deep learning-based segmentation and classification are crucial to large-scale biomedical imaging, particularly for 3D data, where manual analysis is impractical....
arXiv:2602.15669v1 Announce Type: new Abstract: Current methods for personality control in Large Language Models rely on static prompting or expensive fine-tuning, failing to capture the...
arXiv:2602.15671v1 Announce Type: new Abstract: Federated learning security research has predominantly focused on backdoor threats from a minority of malicious clients that intentionally corrupt model...
arXiv:2602.15675v1 Announce Type: new Abstract: Despite the advances in neural text to speech (TTS), many Arabic dialectal varieties remain marginally addressed, with most resources concentrated...
arXiv:2602.15676v1 Announce Type: new Abstract: Neural networks can accurately forecast complex dynamical systems, yet how they internally represent underlying latent geometry remains poorly understood. We...
arXiv:2602.15677v1 Announce Type: new Abstract: Electrocardiograms (ECG) are electrical recordings of the heart that are critical for diagnosing cardiovascular conditions. ECG language models (ELMs) have...
arXiv:2602.15678v1 Announce Type: new Abstract: Northrop Frye's theory of four fundamental narrative genres (comedy, romance, tragedy, satire) has profoundly influenced literary criticism, yet computational approaches...
arXiv:2602.15681v1 Announce Type: new Abstract: Numerous studies have explored the SQL query refinement problem, where the objective is to minimally modify an input query so...
arXiv:2602.15682v1 Announce Type: new Abstract: Modern digital services have evolved into indispensable tools, driving the present large-scale information systems. Yet, the prevailing platform-centric model, where...
arXiv:2602.15683v1 Announce Type: new Abstract: We study the generalization of Correlation Clustering which incorporates fairness constraints via the notion of fairlets. The corresponding Fair Correlation...
arXiv:2602.15684v1 Announce Type: new Abstract: Assessing human muscle fatigue is critical for optimizing performance and safety in physical human-robot interaction(pHRI). This work presents a data-driven...
arXiv:2602.15689v1 Announce Type: new Abstract: Large language models and LLM-based agents are increasingly used for cybersecurity tasks that are inherently dual-use. Existing approaches to refusal,...
arXiv:2602.15698v1 Announce Type: new Abstract: As artificial intelligence (AI) increasingly integrates into crowdfunding practices, strategic disclosure of AI involvement has become critical. Yet, empirical insights...
arXiv:2602.15702v1 Announce Type: new Abstract: Given two matroids $\mathcal{M}_1$ and $\mathcal{M}_2$ over the same ground set, the matroid intersection problem is to find the maximum...
arXiv:2602.15704v1 Announce Type: new Abstract: Learning dynamical systems through purely data-driven methods is challenging as they do not learn the underlying conservation laws that enable...
arXiv:2602.15705v1 Announce Type: new Abstract: Database-driven cognitive radio networks (DB-CRNs) enable dynamic spectrum sharing through geolocation databases but introduce critical security and privacy challenges, including...