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

PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking

Wei Zhou, Wuyang Li, Junkai Ji, Xueliang Li, Wenjing Hong, Zexuan Zhu, Xing Tang, Xiuqiang He ยท 2026

Multi-objective re-ranking has become a critical component of modern multi-stage recommender systems, as it tasked to balance multiple conflicting objectives such as accuracy, diversity, and fairness.โ€ฆ

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Computer Science Preprint PDF DOI

AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference

Risa Shinoda, Kaede Shiohara, Nakamasa Inoue, Hiroaki Santo, Fumio Okura ยท 2026

Animal vocalizations provide crucial insights for wildlife assessment, particularly in complex environments such as forests, aiding species identification and ecological monitoring. Recent advances inโ€ฆ

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Computer Science Preprint PDF DOI

Surfacing and Applying Meaning: Supporting Hermeneutical Autonomy for LGBTQ+ People in Taiwan

Yi-Tong Chen, En-Kai Chang, Nanyi Bi, Nitesh Goyal ยท 2026

After Taiwan's legalization of same-sex marriage in 2019, LGBTQ+ communities continue to face hostility on social media. Using the lens of hermeneutical injustice and autonomy, we examine how technoloโ€ฆ

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Computer Science Preprint PDF DOI

You See It, They Don't: An Exploratory Study of User-to-User Variation in Instagram Comments

Brahmani Nutakki, Manon Lilott Kempermann, Ingmar Weber ยท 2026

In March 2025, Meta announced a new AI system to rank the order of the comments shown to Instagram users. With existing research showing how feed personalization systems can lead to increased polarizaโ€ฆ

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Computer Science Preprint PDF DOI

Asymmetric Dynamics of Partisan Warriors in YouTube Comments

Keyeun Lee, Sang Jung Kim ยท 2026

Cross-cutting commenting on social media is often imagined as a path to deliberation, yet exposure to opposing views frequently fuels hostility. To explain this dynamic, we introduce the concept of paโ€ฆ

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Computer Science Preprint PDF DOI

Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks

Yanming Mu, Hao Hu, Feiyang Li, Qiao Yuan, Jiang Wu, Zichuan Liu, Pengcheng Liu, Mei Wang, Hongwei Zhou, Yuling Liu ยท 2026

Retrieval-Augmented Generation (RAG) significantly mitigates the hallucinations and domain knowledge deficiency in large language models by incorporating external knowledge bases. However, the multi-mโ€ฆ

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Computer Science Preprint PDF DOI

Quantifying Interface Procedure Coupling Risks in Digital Nuclear Control Rooms: An Event Based Human Reliability Assessment

Xingyu Xiao, Mingwei Xiao, Hongbo Li, Jingang Liang, Jiejuan Tong, Haitao Wang ยท 2026

Digitalization has fundamentally transformed human system interaction in nuclear main control rooms, yet the quantitative mechanisms by which interfaces amplify procedural risks remain insufficiently โ€ฆ

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Computer Science Preprint PDF DOI

Rateless DeepJSCC for Broadcast Channels: a Rate-Distortion-Complexity Tradeoff

Zijun Qin, Jingxuan Huang, Zesong Fei, Haichuan Ding, Yulin Shao, Xianhao Chen ยท 2026

In recent years, numerous data-intensive broadcasting applications have emerged at the wireless edge, calling for a flexible tradeoff between distortion, transmission rate, and processing complexity. โ€ฆ

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Computer Science Preprint PDF DOI

Spatio-Temporal Attention Enhanced Multi-Agent DRL for UAV-Assisted Wireless Networks with Limited Communications

Che Chen, Lanhua Li, Shimin Gong, Yu Zhao, Yuming Fang, Dusit Niyato ยท 2026

In this paper, we employ multiple UAVs to accelerate data transmissions from ground users (GUs) to a remote base station (BS) via the UAVs' relay communications. The UAVs' intermittent information excโ€ฆ

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Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection

Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel ยท 2026

With the rapid growth of interconnected devices, accurately detecting malicious activities in network traffic has become increasingly challenging. Most existing deep learning-based intrusion detectionโ€ฆ

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AI In Cybersecurity Education -- Scalable Agentic CTF Design Principles and Educational Outcomes

Haoran Xi, Minghao Shao, Kimberly Milner, Venkata Sai Charan Putrevu, Nanda Rani, Meet Udeshi, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Siddharth Garg, Sandeep Kumar Shukla, Farshad Khorrami, Alon Hillel-Tuch, Muhammad Shafique, Ramesh Karri ยท 2026

Large language models are rapidly changing how learners acquire and demonstrate cybersecurity skills. However, when human--AI collaboration is allowed, educators still lack validated competition desigโ€ฆ

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One-Year Internship Program on Software Engineering: Students' Perceptions and Educators' Lessons Learned

Golnoush Abaei, Mojtaba Shahin, Maria Spichkova ยท 2026

The inclusion of internship courses in Software Engineering (SE) programs is essential for closing knowledge gaps and improving graduates' readiness for the software industry. Our study focuses on yeaโ€ฆ

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Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation

Lingzhe Zhang, Tong Jia, Mingyu Wang, Weijie Hong, Chiming Duan, Minghua He, Rongqian Wang, Xi Peng, Meiling Wang, Gong Zhang, Renhai Chen, Ying Li ยท 2026

Large Language Models (LLM)-based Multi-Agent Systems (MASs) have emerged as a new paradigm in software system design, increasingly demonstrating strong reasoning and collaboration capabilities. As thโ€ฆ

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Learning Inflation Narratives from Reddit: How Lightweight LLMs Reveal Forward-Looking Economic Signals

Ryuichi Saito, Sho Tsugawa ยท 2026

Public perceptions and expectations of inflation shape household spending, wage bargaining, and policy support, making them key determinants of macroeconomic outcomes. However, current measures rely oโ€ฆ

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Computer Science Preprint PDF DOI

RuntimeSlicer: Towards Generalizable Unified Runtime State Representation for Failure Management

Lingzhe Zhang, Tong Jia, Weijie Hong, Mingyu Wang, Chiming Duan, Minghua He, Rongqian Wang, Xi Peng, Meiling Wang, Gong Zhang, Renhai Chen, Ying Li ยท 2026

Modern software systems operate at unprecedented scale and complexity, where effective failure management is critical yet increasingly challenging. Metrics, traces, and logs provide complementary viewโ€ฆ

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Communication-Avoiding SpGEMM via Trident Partitioning on Hierarchical GPU Interconnects

Julian Bellavita, Lorenzo Pichetti, Thomas Pasquali, Flavio Vella, Giulia Guidi ยท 2026

The multiplication of two sparse matrices, known as SpGEMM, is a key kernel in scientific computing and large-scale data analytics, underpinning graph algorithms, machine learning, simulations, and coโ€ฆ

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Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing

Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek, Amel Bennaceur, Foutse Khomh ยท 2026

Extensive simulation-based testing is important for assuring the safety of autonomous driving systems (ADS). However, generating safety-critical traffic scenarios remains challenging because failures โ€ฆ

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Why AI Readiness Is an Organizational Learning Problem, Not a Technology Purchase

Jeanne McClure, Gregg Gerdau ยท 2026

Global corporate AI investment reached $252.3 billion in 2024, yet only 6% of firms report significant earnings impact. This article argues that AI project failure is fundamentally an organizational lโ€ฆ

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Assessing Data Literacy in K-12 Education: Challenges and Opportunities

Annabel Goldman, Yuan Cui, Matthew Kay ยท 2026

Data literacy has become a key learning objective in K-12 education, but it remains an ambiguous concept as teachers interpret it differently. When creating assessments, teachers turn broad ideas abouโ€ฆ

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Which Alert Removals are Beneficial?

Idan Amit ยท 2026

Context: Static analysis captures software engineering knowledge and alerts on possibly problematic patterns. Previous work showed that they indeed have predictive power for various problems. However,โ€ฆ

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