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arXiv:2602.14706v1 Announce Type: new Abstract: Diffusion recommender systems achieve strong recommendation accuracy but often suffer from popularity bias, resulting in unequal item exposure. To address...
arXiv:2602.14708v1 Announce Type: new Abstract: Current distributed data fabrics lack a rigorous mathematical foundation, often relying on ad-hoc architectures that struggle with consistency, lineage, and...
arXiv:2602.14710v1 Announce Type: new Abstract: Conversational search (CS) requires a complex software engineering pipeline that integrates query reformulation, ranking, and response generation. CS researchers currently...
arXiv:2602.14717v1 Announce Type: new Abstract: We consider the problem of synthesizing programs with numerical constants that optimize a quantitative objective, such as accuracy, over a...
arXiv:2602.14721v1 Announce Type: new Abstract: Web agents require massive trajectories to generalize, yet real-world training is constrained by network latency, rate limits, and safety risks....
arXiv:2602.14722v1 Announce Type: new Abstract: The intersection of two context-free languages is not generally context-free, but no geometric criterion has characterized when it remains so....
arXiv:2602.14725v1 Announce Type: new Abstract: This paper investigates a cyber-physical DC microgrid employing a nonlinear distributed consensus-based control scheme for coordinated integration and management of...
arXiv:2602.14726v1 Announce Type: new Abstract: Autonomous control of double-Ackermann-steering robots is essential in agricultural applications, where robots must execute precise and complex maneuvers within a...
arXiv:2602.14728v1 Announce Type: new Abstract: We systematically investigate the parameter-efficient fine-tuning design space under practical data and compute constraints, and propose D2-LoRA. D2-LoRA achieves 76.4...
arXiv:2602.14729v1 Announce Type: new Abstract: Neural networks with positively homogeneous activations exhibit an exact continuous reparametrization symmetry: neuron-wise rescalings generate parameter-space orbits along which the...
arXiv:2602.14731v1 Announce Type: new Abstract: The emergence of small computing devices and the integration of processing units into everyday objects has made lightweight cryptography an...
arXiv:2602.14733v1 Announce Type: new Abstract: Large language models (LLMs) have been increasingly adopted to support patients' healthcare-seeking in recent years. While prior patient-centered studies have...
arXiv:2602.14737v1 Announce Type: new Abstract: We propose a parameter-minimal neural architecture for solving differential equations by restricting the hypothesis class to Horner-factorized polynomials, yielding an...
arXiv:2602.14740v1 Announce Type: new Abstract: Today's leading AI models engage in sophisticated behaviour when placed in strategic competition. They spontaneously attempt deception, signaling intentions they...
arXiv:2602.14742v1 Announce Type: new Abstract: With the ongoing transition of electricity markets worldwide from hourly to intra-hourly bidding, market participants--especially Renewable Energy Sources (RES)--gain improved...
arXiv:2602.14743v1 Announce Type: new Abstract: We present LLMStructBench, a novel benchmark for evaluating Large Language Models (LLMs) on extracting structured data and generating valid JavaScript...
arXiv:2602.14744v1 Announce Type: new Abstract: Large language models (LLMs) have been introduced to time series forecasting (TSF) to incorporate contextual knowledge beyond numerical signals. However,...
arXiv:2602.14748v1 Announce Type: new Abstract: For a fixed regular language $L$, the enumeration of $L$-infixes is the following task: we are given an input word...
arXiv:2602.14749v1 Announce Type: new Abstract: Attitudes toward STEM develop from the interaction of conceptual knowledge, educational experiences, and affect. Here we use cognitive network science...
arXiv:2602.14751v1 Announce Type: new Abstract: We introduce CAPA, a parameter-efficient test-time optimization framework that adapts pre-trained 3D foundation models (FMs) for depth completion, using sparse...
arXiv:2602.14755v1 Announce Type: new Abstract: Measuring the relatedness between scientific publications is essential in many areas of bibliometrics and science policy. Controlled vocabularies provide a...
arXiv:2602.14757v1 Announce Type: new Abstract: We develop an interpolation-based reduced-order modeling framework for parameter-dependent partial differential equations arising in control, inverse problems, and uncertainty quantification....
arXiv:2602.14759v1 Announce Type: new Abstract: Deep Learning architectures, and in particular Transformers, are conventionally viewed as a composition of layers. These layers are actually often...
arXiv:2602.14760v1 Announce Type: new Abstract: Large Language Models (LLMs) are trained with next-token prediction, implemented in autoregressive Transformers via causal masking for parallelism. This creates...