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

An Exponential Separation between Deterministic CDCL and DPLL Solvers

Sahil Samar, Marc Vinyals, Vijay Ganesh ยท 2026

We prove that there exists a deterministic configuration of Conflict Driven Clause Learning (CDCL) SAT solvers using a variant of the VSIDS branching heuristic that solves instances of the Ordering Prโ€ฆ

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Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees

Yuxuan Zhu, Tengjun Jin, Chenghao Mo, Daniel Kang ยท 2026

Analytical join queries over unstructured data are increasingly prevalent in data analytics. Applying machine learning (ML) models to label every pair in the cross product of tables can achieve state-โ€ฆ

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SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding

Songcheng Cai, Zhiheng Lyu, Yuansheng Ni, Xiangchao Chen, Baichuan Zhou, Shenzhe Zhu, Yi Lu, Haozhe Wang, Chi Ruan, Benjamin Schneider, Weixu Zhang, Xiang Li, Andy Zheng, Yuyu Zhang, Ping Nie, Wenhu Chen ยท 2026

Agentic repository-level code understanding is essential for automating complex software engineering tasks, yet the field lacks reliable benchmarks. Existing evaluations often overlook the long tail tโ€ฆ

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Assessing the Pedagogical Readiness of Large Language Models as AI Tutors in Low-Resource Contexts: A Case Study of Nepal's K-10 Curriculum

Pratyush Acharya, Prasansha Bharati, Yokibha Chapagain, Isha Sharma Gauli, Kiran Parajuli ยท 2026

The integration of Large Language Models (LLMs) into educational ecosystems promises to democratize access to personalized tutoring, yet the readiness of these systems for deployment in non-Western, lโ€ฆ

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RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems

Hui Wang, Tianzhu Hu, Mingming Li, Xi Zhou, Chun Gan, Jiao Dai, Jizhong Han, Songlin Hu, Tao Guo ยท 2026

Recommender systems are inherently dynamic feedback loops where prolonged local interactions accumulate into macroscopic structural degradation such as information cocoons. Existing representation leaโ€ฆ

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Exploring Urban Land Use Patterns by Pattern Mining and Unsupervised Learning

Zdena Dobesova, Tai Dinh, Pavel Novak ยท 2026

Urban areas are intricate systems shaped by socioeconomic, environmental, and infrastructural factors, with land use patterns serving as aspects of urban morphology. This paper proposes a novel methodโ€ฆ

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Governing frontier general-purpose AI in the public sector: adaptive risk management and policy capacity under uncertainty through 2030

Fabio Correa Xavier ยท 2026

The governance of frontier general-purpose artificial intelligence has become a public-sector problem of institutional design, not merely a technical issue of model performance. Recent evidence indicaโ€ฆ

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Multi-objective Optimization for Over-the-Air Federated Edge Learning-enabled Collaborative Integrated Sensing and Communications

Saba Asaad, Hina Tabassum, Ping Wang ยท 2026

This paper introduces a novel multi-objective integrated sensing and communications (ISAC) framework to enable collaborative wireless sensing in conjunction with over-the-air federated-edge learning (โ€ฆ

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Lessons from Real-World Deployment of a Cognition-Preserving Writing Tool: Students Actively Engage with Critical Thinking and Planning Affordances

Yinuo Yang, Zheng Zhang, Ningzhi Tang, Xu Wang, Alex Ambrose, Nathaniel Myers, Patrick Clauss, Toby Jia-Jun Li ยท 2026

AI-supported writing tools show strong potential for scaffolding students' learning of argumentative writing. Prior work has demonstrated the benefits of AI-supported cognitive scaffolds, such as ideaโ€ฆ

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Co-Design of Memory-Storage Systems for Workload Awareness with Interpretable Models

Jay Sarkar, Vamsi Pavan Rayaprolu, Abhijeet Bhalerao ยท 2026

Solid-state storage architectures based on NAND or emerging memory devices (SSD), are fundamentally architected and optimized for both reliability and performance. Achieving these simultaneous goals rโ€ฆ

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Music Genre Classification: A Comparative Analysis of Classical Machine Learning and Deep Learning Approaches

Sachin Prajuli, Abhishek Karna, OmPrakash Dhakl ยท 2026

Automatic music genre classification is a long-standing challenge in Music Information Retrieval (MIR); work on non-Western music traditions remains scarce. Nepali music encompasses culturally rich anโ€ฆ

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To be FAIR or RIGHT? Methodological [R]esearch [I]ntegrity [G]iven [H]uman-facing [T]echnologies using the example of Learning Technologies

Julian Dehne ยท 2026

Quality assessment of Research Software Engineering (RSE) plays an important role in all scientific fields. From the canonical three criteria (reliability, validity, and objectivity) previous researโ€ฆ

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SliceMapper: Intelligent Mapping of O-CU and O-DU onto O-Cloud Sites in 6G O-RAN

Mohammad Asif Habibi, Xavier Costa-Perez, Hans D. Schotten ยท 2026

In this paper, we propose an rApp, named SliceMapper, to optimize the mapping process of the open centralized unit (O-CU) and open distributed unit (O-DU) of an open radio access network (O-RAN) sliceโ€ฆ

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Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems

Riya Samanta, Bidyut Saha ยท 2026

Precision agriculture increasingly integrates artificial intelligence to enhance crop monitoring, irrigation management, and resource efficiency. Nevertheless, the vast majority of the current systemsโ€ฆ

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TriFusion-LLM: Prior-Guided Multimodal Fusion with LLM Arbitration for Fine-grained Code Clone Detection

Mengdi Li, Yuming Liu, He Wang, Zifeng Xu, Yuqing Zhang ยท 2026

Code clone detection (CCD) supports software maintenance, refactoring, and security analysis. Although pre-trained models capture code semantics, most work reduces CCD to binary classification, overloโ€ฆ

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Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning

Jaspreet Ranjit, Ke Zhou, Swabha Swayamdipta, Daniele Quercia ยท 2026

Prior work has mapped which workplace tasks are exposed to AI, but less is known about whether workers perceive these tasks as meaningful or as busywork. We examined: (1) which dimensions of meaningfuโ€ฆ

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Masked BRep Autoencoder via Hierarchical Graph Transformer

Yifei Li, Kang Wu, Wenming Wu, Xiao-Ming Fu ยท 2026

We introduce a novel self-supervised learning framework that automatically learns representations from input computer-aided design (CAD) models for downstream tasks, including part classification, modโ€ฆ

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Customizing ChatGPT for Second Language Speaking Practice: Genuine Support or Just a Marketing Gimmick?

Fanfei Meng ยท 2026

ChatGPT, with its customization features and Voice Mode, has the potential for more engaging and peresonalized ESL (English as a Second Language) education. This study examines the efficacy of customiโ€ฆ

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Hyper-learning and Unlearning: A Narrative Speculation on Urbanism in Media Ecologies

Anqi Wang, Yue Hua, Xinyue Zhang, Jindi Jia, Corneel Cannaerts, Michiel Helbig, Pan Hui ยท 2026

Hyper-learning and Unlearning is a speculative animation that reflect how learning is reconfigured within digital media ecologies. Using architectural education as a microcosm, the work reframes the cโ€ฆ

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BadLLM-TG: A Backdoor Defender powered by LLM Trigger Generator

Ruyi Zhang, Heng Gao, Songlei Jian, Yusong Tan, Haifang Zhou ยท 2026

Backdoor attacks compromise model reliability by using triggers to manipulate outputs. Trigger inversion can accurately locate these triggers via a generator and is therefore critical for backdoor defโ€ฆ

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