Stay updated with the latest research and technology news
arXiv:2501.18581v4 Announce Type: replace Abstract: Bias-variance decompositions are widely used to understand the generalization performance of machine learning models. While the squared error loss permits...
arXiv:2502.00662v2 Announce Type: replace Abstract: Existing vision-language model (VLM)-based methods for out-of-distribution (OOD) detection typically rely on similarity scores between input images and in-distribution (ID)...
arXiv:2502.04192v4 Announce Type: replace Abstract: Multiple works have emerged to push the boundaries of multi-modal large language models (MLLMs) towards pixel-level understanding. The current trend...
arXiv:2502.05850v3 Announce Type: replace Abstract: This paper presents a unified framework for codifying and automating optimization strategies to efficiently deploy deep neural networks (DNNs) on...
arXiv:2502.05853v2 Announce Type: replace Abstract: This paper introduces a novel finite Zak transform (FZT)-aided framework for constructing multiple zero-correlation zone (ZCZ) sequence sets with optimal...
arXiv:2502.06574v3 Announce Type: replace Abstract: Semivalue-based data valuation uses cooperative-game theory intuitions to assign each data point a value reflecting its contribution to a downstream...
arXiv:2502.07687v2 Announce Type: replace Abstract: We consider the possible role of current large language models (LLMs) in the study of human linguistic cognition. We focus...
arXiv:2502.11242v5 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly embedded in child-facing contexts such as education, companionship, creative tools, but their deployment raises...
arXiv:2502.11740v2 Announce Type: replace Abstract: Recent MLLMs have shown emerging visual understanding and reasoning abilities after being pre-trained on large-scale multimodal datasets. Unlike pre-training, where...
arXiv:2502.12945v3 Announce Type: replace Abstract: In an era where micro-videos dominate platforms like TikTok and YouTube, AI-generated content is nearing cinematic quality. The next frontier...
arXiv:2502.13321v2 Announce Type: replace Abstract: Trust biases how users rely on AI recommendations in AI-assisted decision-making tasks, with low and high levels of trust resulting...
arXiv:2502.13358v5 Announce Type: replace Abstract: Large Language Models (LLMs) have significantly advanced natural language processing, demonstrating strong capabilities in tasks such as text generation, summarization,...
arXiv:2502.16944v2 Announce Type: replace Abstract: In this paper, we explore how directly pretraining a value model simplifies and stabilizes reinforcement learning from human feedback (RLHF)....
arXiv:2502.18334v4 Announce Type: replace Abstract: Graph-based learning excels at capturing interaction patterns in diverse domains like recommendation, fraud detection, and particle physics. However, its performance...
arXiv:2502.18536v3 Announce Type: replace Abstract: Visual Question Answering requires models to generate accurate answers by integrating visual and textual understanding. However, VQA models still struggle...
arXiv:2502.19923v3 Announce Type: replace Abstract: We study the following reachability problem for piecewise affine maps: Given two vectors $\mathbf{s}, \mathbf{t} \in \mathbb{Q}^d$ and a piecewise...
arXiv:2503.00577v2 Announce Type: replace Abstract: This study presents an Actor-Critic Cooperative Compensated Model Predictive Controller (AC3MPC) designed to address unknown system dynamics. To avoid the...
arXiv:2503.03008v3 Announce Type: replace Abstract: Deploying language models often requires navigating accuracy vs. performance trade-offs to meet latency constraints while preserving utility. Traditional model distillation...
arXiv:2503.04003v3 Announce Type: replace Abstract: Despite over 3.5 million Android apps and 200+ million Android Auto-compatible vehicles, only a few hundred apps support Android Auto...
arXiv:2503.05786v3 Announce Type: replace Abstract: With the increasing prevalence of mental health conditions worldwide, AI-powered chatbots and conversational agents have emerged as accessible tools to...
arXiv:2503.06759v2 Announce Type: replace Abstract: Achieving health equity in Artificial Intelligence (AI) requires diagnostic models that maintain reliability across diverse populations. However, breast cancer screening...
arXiv:2503.06950v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems enhance response credibility and traceability by displaying reference contexts, but this transparency simultaneously introduces a novel...
arXiv:2503.07137v4 Announce Type: replace Abstract: Artificial intelligence (AI) has achieved astonishing successes in many domains, especially with the recent breakthroughs in the development of foundational...
arXiv:2503.07527v2 Announce Type: replace Abstract: To enhance lifting-load estimation accuracy in industrial upper-limb assistive exoskeletons, this study proposes a machine learning-based approach using insole pressure...