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๐Ÿ” avoidance learning ๐Ÿ“‚ Computer Science
Showing 46580 results for "avoidance learning" in Computer Science
Computer Science Preprint PDF DOI

BEACON: Budget-Aware Entity Matching Across Domains (Extended Technical Report)

Nicholas Pulsone, Roee Shraga, Gregory Goren ยท 2026

Entity Matching (EM)--the task of determining whether two data records refer to the same real-world entity--is a core task in data integration. Recent advances in deep learning have set a new standardโ€ฆ

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SliceFed: Federated Constrained Multi-Agent DRL for Dynamic Spectrum Slicing in 6G

Hossein Mohammadi, Seyed Bagher Hashemi Natanzi, Ramak Nassiri, Jamshid Hassanpour, Bo Tang, Vuk Marojevic ยท 2026

Dynamic spectrum slicing is a critical enabler for 6G Radio Access Networks (RANs), allowing the coexistence of heterogeneous services. However, optimizing resource allocation in dense, interference-lโ€ฆ

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How do AI agents talk about science and research? An exploration of scientific discussions on Moltbook using BERTopic

Oliver Wieczorek ยท 2026

How do AI agents talk about science and research, and what topics are particularly relevant for AI agents? To address these questions, this study analyzes discussions generated by OpenClaw AI agents oโ€ฆ

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Computer Science Preprint PDF DOI

Fair-Gate: Fairness-Aware Interpretable Risk Gating for Sex-Fair Voice Biometrics

Yangyang Qu, Massimiliano Todisco, Chiara Galdi, Nicholas Evans ยท 2026

Voice biometric systems can exhibit sex-related performance gaps even when overall verification accuracy is strong. We attribute these gaps to two practical mechanisms: (i) demographic shortcut learniโ€ฆ

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Computer Science Preprint PDF DOI

LROO Rug Pull Detector: A Leakage-Resistant Framework Based on On-Chain and OSINT Signals

Fatemeh Shoaei, Mohammad Pishdar, Mozafar Bag-Mohammadi, Mojtaba Karami ยท 2026

Smart contract-based ecosystems enable decentralized applications without trusted intermediaries, but their immutability and permissionless design also facilitate large-scale fraud. One of the most prโ€ฆ

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Computer Science Preprint PDF DOI

Self-Regulated Personal Contracts as a Harm Reduction Approach to Generative AI in Undergraduate Programming Education

Aadarsh Padiyath, Jessica Shen, Barbara Ericson ยท 2026

Students learning programming exercise agency in deciding when and how to use GenAI tools like ChatGPT. However, this agency is often implicit and shaped by deadline pressure and peer behavior rather โ€ฆ

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Bridging the Cognitive Gap: Co-Designing and Evaluating a Voice-Enabled Community Chatbot for Older Adults

Feng Chen, Luna Xingyu Li, Ray-Yuan Chung, Wenyu Zeng, Yein Jeon, Yizhou Hu, Oleg Zaslavsky ยท 2026

Digital portals in retirement communities often create physical and cognitive barriers for older adults, leading to digital avoidance. Generative AI offers a solution by enabling natural language inteโ€ฆ

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Computer Science Preprint PDF DOI

Unveiling Practical Shortcomings of Patch Overfitting Detection Techniques

David Williams, Ioakim Avraam, Aldeida Aleti, Matias Martinez, Justyna Petke, Federica Sarro ยท 2026

Automated Program Repair (APR) can reduce the time developers spend debugging, allowing them to focus on other aspects of software development. Automatically generated bug patches are typically validaโ€ฆ

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LLMs Can Infer Political Alignment from Online Conversations

Byunghwee Lee, Sangyeon Kim, Filippo Menczer, Yong-Yeol Ahn, Haewoon Kwak, Jisun An ยท 2026

Due to the correlational structure in our traits such as identities, cultures, and political attitudes, seemingly innocuous preferences like following a band or using a specific slang can reveal privaโ€ฆ

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ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning

Lingxiao Tang, He Ye, Zhaoyang Chu, Muyang Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao ยท 2026

Code LLMs still struggle with code execution reasoning, especially in smaller models. Existing methods rely on supervised fine-tuning (SFT) with teacher-generated explanations, primarily in two forms:โ€ฆ

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DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries

Massimiliano Altieri, Ronan Hamon, Roberto Corizzo, Michelangelo Ceci, Ignacio Sanchez ยท 2026

Network intrusion detection systems play a crucial role in the security strategy employed by organisations to detect and prevent cyberattacks. Such systems usually combine pattern detection signaturesโ€ฆ

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Primitive-Root Determinant Densities over Prime Fields and Implications for PRIM-LWE

Vipin Singh Sehrawat ยท 2026

For a prime $p$, let $c_n(p)$ denote the fraction of $n\times n$ matrices over $\mathbb{F}_p$ whose determinant is a primitive root modulo $p$, and let $c(p)=\lim_{n\to\infty}c_n(p)$ be the limiting dโ€ฆ

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Bridging Behavioral Biometrics and Source Code Stylometry: A Survey of Programmer Attribution

Marek Horvath, Emilia Pietrikova, Diomidis Spinellis ยท 2026

Programmer attribution seeks to identify or verify the author of a source code artifact using stylistic, structural, or behavioural characteristics. This problem has been studied across software enginโ€ฆ

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Catalogue Grounded Multimodal Attribution for Museum Video under Resource and Regulatory Constraints

Minsak Nanang, Adrian Hilton, Armin Mustafa ยท 2026

Audiovisual (AV) archives in museums and galleries are growing rapidly, but much of this material remains effectively locked away because it lacks consistent, searchable metadata. Existing method for โ€ฆ

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Artificial Intelligence as a Catalyst for Innovation in Software Engineering

Carlos Alberto Fernandez-y-Fernandez, Jorge R. Aguilar-Cisneros ยท 2026

The rapid evolution and inherent complexity of modern software requirements demand highly flexible and responsive development methodologies. While Agile frameworks have become the industry standard foโ€ฆ

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Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning

Victor Forattini Jansen, Emanuel Teixeira Martins, Yasmin Souza Lima, Flavio de Oliveira Silva, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira ยท 2026

Convolutional Neural Networks (CNNs) have proven to be highly effective in solving a broad spectrum of computer vision tasks, such as classification, identification, and segmentation. These methods caโ€ฆ

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Initialization and Rate-Quality Functions for Generative Network Layer Protocols

Mathias Thorsager, Israel Leyva-Mayorga, Petar Popovski ยท 2026

Generative AI (GenAI) creates full content based on compact prompts. While GenAI has been used for applications where the generated content is returned to the prompt sender, it can play a vital role iโ€ฆ

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Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape

Muaan Ur Rehman, Hayretdin Bahsi, Rajesh Kalakoti ยท 2026

The expansion of Internet of Things (IoT) devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning based systems have beeโ€ฆ

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Deep Randomized Distributed Function Computation (DeepRDFC): Neural Distributed Channel Simulation

Didrik Bergstrom, Onur Gunlu ยท 2026

The randomized distributed function computation (RDFC) framework, which unifies many cutting-edge distributed computation and learning applications, is considered. An autoencoder (AE) architecture is โ€ฆ

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Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High dimensions

Kangke Cheng, Shihong Song, Guanlin Mo, Hu Ding ยท 2026

In this paper, we investigate the learning-augmented $k$-median clustering problem, which aims to improve the performance of traditional clustering algorithms by preprocessing the point set with a preโ€ฆ

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