arXiv:2601.03269v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable capabilities in natural language understanding and generation, yet their deployment in enterprise environments reveals a critical limitation: inconsistent adherence to custom instructions. This study presents a comprehensive evaluation of 13 leading LLMs across instruction compliance, response accuracy, and performance metrics in realworld RAG (Retrieval-Augmented Generation) scenarios. Through systematic testing with samples and enterprise-grade evaluation protocols, we demonstrate that instruction following varies dramatically across models, with Claude-Sonnet-4 […]

Ver mais

arXiv:2601.04217v1 Announce Type: new Abstract: The use of large language model (LLM)-based AI chatbots among college students has increased rapidly, yet little is known about how individual psychological attributes shape students’ interaction patterns with these technologies. This qualitative study explored how college students with different attachment styles describe their interactions with ChatGPT. Using semi-structured interviews with seven undergraduate students and grounded theory analysis, we identified three main themes: (1) AI as a low-risk emotional space, where participants across […]

Ver mais

Current exact algorithms for score-based structure discovery in Bayesian networks on $n$ nodes run in time and space within a polynomial factor of $2^n$. For practical use, the space requirement is the bottleneck, which motivates trading space against time. Here, previous results on finding an optimal network structure in less space are extended in two directions. First, we consider the problem of computing the posterior probability of a given arc set. Second, we operate with the general partial […]

Ver mais

In this quiz, you’ll test your understanding of the Python MarkItDown: Convert Documents Into LLM-Ready Markdown tutorial. By working through this quiz, you’ll revisit how to install MarkItDown, convert documents to Markdown for your LLM workflows, and more. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

Ver mais

arXiv:2601.00237v1 Announce Type: new Abstract: This paper addresses the critical bottleneck of infrared (IR) data scarcity in Printed Circuit Board (PCB) defect detection by proposing a cross-modal data augmentation framework integrating CycleGAN and YOLOv8. Unlike conventional methods relying on paired supervision, we leverage CycleGAN to perform unpaired image-to-image translation, mapping abundant visible-light PCB images into the infrared domain. This generative process synthesizes high-fidelity pseudo-IR samples that preserve the structural semantics of defects while accurately simulating thermal distribution patterns. […]

Ver mais

Fruits are an integral part of our diet. Various types of proteins and vitamins are obtained through fruits. Apple is a major fruit that is consumed globally. This is a multipurpose fruit that is used in the preparation of various food products and also in medicines. Therefore, it is important to analyze its future prices. India is the largest producer of apples, thus it is very important to analyze the Apple prices of Indian agricultural markets. Machine learning […]

Ver mais

We study a purely local inverse problem for non-reversible Randers metrics ( F = |cdot|_g + beta ) defined on smooth oriented surfaces. Using only the lengths of sufficiently small closed curves around a point ( p ), we prove that the exterior derivative ( dbeta(p) ) can be uniquely and stably recovered. Moreover, we establish that ( dbeta(p) ) is the only second-order local invariant retrievable from such local length measurements. Our approach is entirely metric-based, independent […]

Ver mais

arXiv:2601.02389v1 Announce Type: new Abstract: Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are revolutionizing network management systems, paving the way towards fully autonomous and self-optimizing communication systems. These models enable networks to address complex decision-making tasks across both short-term operational scenarios and long-term strategic planning. Through natural language understanding, LLMs can analyze customer inquiries, predict network congestion patterns, and automate troubleshooting processes, leading to more efficient customer support and network maintenance. GenAI can optimize content delivery […]

Ver mais

arXiv:2601.00219v2 Announce Type: new Abstract: Agent communication remains a foundational problem in multi-agent systems: protocols such as FIPA-ACL guarantee semantic richness but are intractable for constrained environments, while lightweight IoT protocols achieve efficiency at the expense of expressiveness. This paper presents $mu$ACP, a formal calculus for expressive agent communication under explicit resource bounds. We formalize the Resource-Constrained Agent Communication (RCAC) model, prove that a minimal four-verb basis textit{{PING, TELL, ASK, OBSERVE}} is suffices to encode finite-state FIPA protocols, […]

Ver mais