arXiv:2604.17763v1 Announce Type: cross
Abstract: This paper presents a controlled quasi-experimental developer study examining whether a layer-based security training package is associated with improved security quality in LLM-assisted implementation…
arXiv:2604.17803v1 Announce Type: cross
Abstract: Post-training Large Language Models requires diverse, high-quality data which is rare and costly to obtain, especially in low resource domains and for multi-turn conversations. Common solutions are cro…
arXiv:2604.17883v1 Announce Type: cross
Abstract: Vibe coding produces correct, executable code at speed, but leaves no record of the structural commitments, dependencies, or evidence behind it. Reviewers cannot determine what invariants were assumed,…
arXiv:2301.13331v3 Announce Type: replace-cross
Abstract: Numerical approximations of partial differential equations (PDEs) are routinely employed to formulate the solution of physics, engineering, and mathematical problems involving functions of seve…
arXiv:2604.16935v1 Announce Type: cross
Abstract: Scarce longitudinal evidence examines LLMs’ persuasiveness and humanness along time-evolving psychological frameworks. We introduce Talk2AI, a longitudinal framework quantifying psycho-social, reasonin…
arXiv:2408.11338v2 Announce Type: replace-cross
Abstract: Large-scale data collection is essential for developing personalized training data, mitigating the shortage of training data, and fine-tuning specialized models. However, creating high-quality …
arXiv:2604.16981v1 Announce Type: cross
Abstract: The LEOPs (Light-ERG-Oscillatory Potentials) dataset provides light-adapted (LA) electroretinogram (ERG) and Oscillatory Potentials (OPs) waveforms for typically developing Control, Autism Spectrum Dis…
arXiv:2503.14281v4 Announce Type: replace-cross
Abstract: AI coding assistants are widely used for tasks like code generation. These tools now require large and complex contexts, automatically sourced from various origins$\unicode{x2014}$across files,…
arXiv:2604.17131v1 Announce Type: cross
Abstract: The plasma environment around Mars is highly variable because it is strongly influenced by the solar wind. Accurate identification of plasma regions around Mars is important for the community studying …
arXiv:2604.17140v1 Announce Type: cross
Abstract: We present a generic algorithm for learning and approximate inference with an intuitive epistemic interpretation: iteratively focus on a subset of the model and resolve inconsistencies using the parame…