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arXiv:2601.20215v1 Announce Type: new Abstract: Short-video recommender systems typically optimize ranking models using dense user behavioral signals, such as clicks and watch time. However, these...
arXiv:2601.20217v1 Announce Type: new Abstract: We derive an accounting identity for predictive models that links accuracy with common fairness criteria. The identity shows that for...
arXiv:2601.20218v1 Announce Type: new Abstract: Recent GRPO-based approaches built on flow matching models have shown remarkable improvements in human preference alignment for text-to-image generation. Nevertheless,...
arXiv:2601.20221v1 Announce Type: new Abstract: Large language models have achieved strong performance on medical reasoning benchmarks, yet their deployment in clinical settings demands rigorous verification...
arXiv:2601.20223v1 Announce Type: new Abstract: We introduce control models for LLM-powered code completion in JetBrains IDEs: ML classifiers which trigger inference and filter the generated...
arXiv:2601.20224v1 Announce Type: new Abstract: Vision-Language Pre-Trained models, notably CLIP, that utilize contrastive learning have proven highly adept at extracting generalizable visual features. To inherit...
arXiv:2601.20226v1 Announce Type: new Abstract: We present two machine learning frameworks for forecasting aggregated curves and optimizing storage in the EPEX SPOT day-ahead market. First,...
arXiv:2601.20227v1 Announce Type: new Abstract: Inferring physical fields from sparse observations while strictly satisfying partial differential equations (PDEs) is a fundamental challenge in computational physics....
arXiv:2601.20229v1 Announce Type: new Abstract: Service Function Chaining (SFC) requires efficient placement of Virtual Network Functions (VNFs) to satisfy diverse service requirements while maintaining high...
arXiv:2601.20230v1 Announce Type: new Abstract: Full-duplex voice interaction is crucial for natural human computer interaction. We present a framework that decomposes complex dialogue into minimal...
arXiv:2601.20231v1 Announce Type: new Abstract: We study black-box optimization of Lipschitz functions under noisy evaluations. Existing adaptive discretization methods implicitly avoid suboptimal regions but do...
arXiv:2601.20232v1 Announce Type: new Abstract: Visual Prompt Tuning (VPT) adapts a frozen Vision Transformer (ViT) to downstream tasks by inserting a small number of learnable...
arXiv:2601.20234v1 Announce Type: new Abstract: The scaling law, which indicates that model performance improves with increasing dataset and model capacity, has fueled a growing trend...
arXiv:2601.20235v1 Announce Type: new Abstract: Existing variational mesh functionals often suffer from strong nonlinearity or dependence on empirical parameters.We propose a new variational functional for...
arXiv:2601.20239v1 Announce Type: new Abstract: Fine-grained and contact-rich manipulation remain challenging for robots, largely due to the underutilization of tactile feedback. To address this, we...
arXiv:2601.20240v1 Announce Type: new Abstract: Background: The Node Package Manager (npm) ecosystem plays a vital role in modern software development by providing a vast repository...
arXiv:2601.20241v1 Announce Type: new Abstract: The Supreme Court decision in Free Speech Coalition v. Paxton upheld the constitutionality of Texas H.B. 1181, one of the...
arXiv:2601.20243v1 Announce Type: new Abstract: This paper develops a unified theoretical framework for constructing B-spline basis function spaces with structural equivalence to finite element spaces....
arXiv:2601.20245v1 Announce Type: new Abstract: AI assistance produces significant productivity gains across professional domains, particularly for novice workers. Yet how this assistance affects the development...
arXiv:2601.20246v1 Announce Type: new Abstract: The rise of Deep Generative Models (DGM) has enabled the generation of high-quality synthetic data. When used to augment authentic...
arXiv:2601.20250v1 Announce Type: new Abstract: Recently, flow-based generative models have shown superior efficiency compared to diffusion models. In this paper, we study rectified flow models,...
arXiv:2601.20253v1 Announce Type: new Abstract: Open-ended question answering (QA) evaluates a model's ability to perform contextualized reasoning beyond factual recall. This challenge is especially acute...
arXiv:2601.20255v1 Announce Type: new Abstract: SWE-bench has emerged as the premier benchmark for evaluating Large Language Models on complex software engineering tasks. While these capabilities...
arXiv:2601.20256v1 Announce Type: new Abstract: Online hate on social media ranges from overt slurs and threats (\emph{hard hate speech}) to \emph{soft hate speech}: discourse that...