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

BIPCL: Bilateral Intent-Enhanced Sequential Recommendation via Embedding Perturbation Contrastive Learning

Shanfan Zhang, Yongyi Lin, Yuan Rao ยท 2026

Accurately modeling users' evolving preferences from sequential interactions remains a central challenge in recommender systems. Recent studies emphasize the importance of capturing multiple latent inโ€ฆ

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Hybrid Hierarchical Federated Learning over 5G/NextG Wireless Networking

Haiyun Liu, Jiahao Xue, Jie Xu, Yao Liu, Zhuo Lu ยท 2026

Today's 5G and NextG wireless networks are moving toward using the coordinated multi-point (CoMP) transmission and reception technique, where a client can be simultaneously served by multiple base staโ€ฆ

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Computer Science Preprint PDF DOI

Differential Mental Disorder Detection with Psychology-Inspired Multimodal Stimuli

Zhiyuan Zhou, Jingjing Wu, Zhibo Lei, Junyu Guo, Zhongcheng Yu, Yuqi Chu, Xiaowei Zhang, Qiqi Zhao, Qi Wang, Shijie Hao, Yanrong Guo, Richang Hong ยท 2026

Differential diagnosis of mental disorders remains a fundamental challenge in real-world clinical practice, where multiple conditions often exhibit overlapping symptoms. However, most existing public โ€ฆ

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Computer Science Preprint PDF DOI

Cognitive Comparability and the Limits of Governance: Evaluating Authority Under Radical Capability Asymmetry

Tony Rost ยท 2026

Governance theory has quietly relied on a rough cognitive comparability between governors and governed. The assumption is load-bearing, and this paper tries to show why by making it testable. The vehiโ€ฆ

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Computer Science Preprint PDF DOI

TypePro: Boosting LLM-Based Type Inference via Inter-Procedural Slicing

Teyu Lin, Minghao Fan, Huaxun Huang, Zhirong Shen, Rongxin Wu ยท 2026

Dynamic languages (such as Python and JavaScript) offer flexibility and simplified type handling for programming, but this can also lead to an increase in type-related errors and additional overhead fโ€ฆ

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Computer Science Preprint PDF DOI

Beyond the AI Tutor: Social Learning with LLM Agents

Harsh Kumar, Zi Kang (Jace) Mu, Jonathan Vincentius, Ashton Anderson ยท 2026

Most AI-based educational tools today adopt a one-on-one tutoring paradigm, pairing a single LLM with a single learner. Yet decades of learning science research suggest that multi-party interaction --โ€ฆ

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Computer Science Preprint PDF DOI

The NC State All-campus Data Science and AI Project-based Teaching and Learning (ADAPT) Model: A mechanism for interdisciplinary engagement in workforce-relevant learning

Rachel Levy, James B. Harr III, David Stokes ยท 2026

Academic institutions have been challenged to adapt as data science and AI have rapidly evolved into disciplines, degrees and careers. Efforts to provide students with learning experiences have led toโ€ฆ

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Computer Science Preprint PDF DOI

Generative AI Use in Entrepreneurship: An Integrative Review and an Empowerment-Entrapment Framework

Jackson G. Lu, Gerui Gloria Zhao, Anna Manyi Zheng ยท 2026

Despite the growing use of generative artificial intelligence (GenAI) in entrepreneurship, research on its impact remains fragmented. To address this limitation, we provide an integrative review of hoโ€ฆ

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Robust Learning with Optimal Error

Guy Blanc ยท 2026

We construct algorithms with optimal error for learning with adversarial noise. The overarching theme of this work is that the use of \textsl{randomized} hypotheses can substantially improve upon the โ€ฆ

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From Theory to Practice: Code Generation Using LLMs for CAPEC and CWE Frameworks

Murtuza Shahzad, Joseph Wilson, Ibrahim Al Azher, Hamed Alhoori, Mona Rahimi ยท 2026

The increasing complexity and volume of software systems have heightened the importance of identifying and mitigating security vulnerabilities. The existing software vulnerability datasets frequently โ€ฆ

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Synapse: Evolving Job-Person Fit with Explainable Two-phase Retrieval and LLM-guided Genetic Resume Optimization

Ansel Kaplan Erol, Seohee Yoon, Keenan Hom, Xisheng Zhang ยท 2026

Modern recruitment platforms operate under severe information imbalance: job seekers must search over massive, rapidly changing collections of postings, while employers are overwhelmed by high-volume,โ€ฆ

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Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models

Samita Bai, Hamed Jelodar, Tochukwu Emmanuel Nwankwo, Parisa Hamedi, Mohammad Meymani, Roozbeh Razavi-Far, Ali A. Ghorbani ยท 2026

Malware family classification remains a challenging task in automated malware analysis, particularly in real-world settings characterized by obfuscation, packing, and rapidly evolving threats. Existinโ€ฆ

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RL-Loop: Reinforcement Learning-Driven Real-Time 5G Slice Control for Connected and Autonomous Mobility Services

Lara Tarkh, Ali Chouman, Hanan Lutfiyya, Abdallah Shami ยท 2026

Smart and connected mobility systems rely on 5G edge infrastructure to support real-time communication, control, and service differentiation. Achieving this requires adaptive resource management mechaโ€ฆ

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Photonic convolutional neural network with pre-trained in-situ training

Saurabh Ranjan, Sonika Thakral, Amit Sehgal ยท 2026

Photonic computing is a computing paradigm which have great potential to overcome the energy bottlenecks of electronic von Neumann architecture. Throughput and power consumption are fundamental limitaโ€ฆ

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PARD-SSM: Probabilistic Cyber-Attack Regime Detection via Variational Switching State-Space Models

Prakul Sunil Hiremath, PeerAhammad M Bagawan, Sahil Bhekane ยท 2026

Modern adversarial campaigns unfold as sequences of behavioural phases - Reconnaissance, Lateral Movement, Intrusion, and Exfiltration - each often indistinguishable from legitimate traffic when vieweโ€ฆ

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InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard

Ray Zeyao Chen, Christan Grant ยท 2026

Modern machine learning systems deployed in safety-critical domains require visibility not only into aggregate performance but also into how training dynamics affect subgroup fairness over time. Existโ€ฆ

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CIVIC: Cooperative Immersion Via Intelligent Credit-sharing in DRL-Powered Metaverse

Amr Aboeleneen, Mohamed Abdallah, Aiman Erbad, Amr Salem ยท 2026

The Metaverse faces complex resource allocation challenges due to diverse Virtual Environments (VEs), Digital Twins (DTs), dynamic user demands, and strict immersion needs. This paper introduces CIVICโ€ฆ

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PAC learning PDFA from data streams

Robert Baumgartner, Sicco Verwer ยท 2026

This is an extended version of our publication Learning state machines from data streams: A generic strategy and an improved heuristic, International Conference on Grammatical Inference (ICGI) 2023, Rโ€ฆ

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Generative AI Spotlights the Human Core of Data Science: Implications for Education

Nathan Taback ยท 2026

Generative AI (GAI) reveals an irreducible human core at the center of data science: advances in GAI should sharpen, rather than diminish, the focus on human reasoning in data science education. GAI cโ€ฆ

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Impact of Multimodal and Conversational AI on Learning Outcomes and Experience

Karan Taneja, Anjali Singh, Ashok K. Goel ยท 2026

Multimodal Large Language Models (MLLMs) offer an opportunity to support multimedia learning through conversational systems grounded in educational content. However, while conversational AI is known tโ€ฆ

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