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

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation

Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun ยท 2026

Sequential Recommendation (SR) learns user preferences from their historical interaction sequences and provides personalized suggestions. In real-world scenarios, most items exhibit sparse interactionโ€ฆ

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Automata Learning versus Process Mining: The Case for User Journeys

Paul Kobialka, Andrea Pferscher, Bernhard K. Aichernig, Einar Broch Johnsen, Silvia Lizeth Tapia Tarifa ยท 2026

With the servitization of business, understanding how users experience services becomes a crucial success factor for companies. Therefore, there is a need to include feedback from user experiences in โ€ฆ

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Computer Science Preprint PDF DOI

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation

Xingyuan Xiang, Xiangchen Pan, Wei Wei ยท 2026

Conversational Recommender Systems (CRSs) leverage natural language interactions for personalized recommendation, yet information-scarce dialogue histories and single-turn recommendation paradigms mayโ€ฆ

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Computer Science Preprint PDF DOI

Joint Behavior-guided and Modality-coherence Conditional Graph Diffusion Denoising for Multi Modal Recommendation

Xiangchen Pan, Wei Wei ยท 2026

In recent years, multimodal recommendation has received significant attention and achieved remarkable success in GCN-based recommendation methods. However, there are two key challenges here: (1) Thereโ€ฆ

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Internet-Mediated Digital Informal Learning Portfolios in STEM Higher Education: A Computational Grounded Theory Study of Online Peer Advice Communities

Jianjun Xiao, Yuxi Long ยท 2026

Internet technologies have expanded higher education students' access to learning resources, peer guidance, and skill-development opportunities beyond formal curricula. Yet the ways students assemble โ€ฆ

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Computer Science Preprint PDF DOI

Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions

Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha ยท 2026

Smart Voice assistants (SVAs) are widely adopted by youth, yet privacy decision-making in these environments is often characterized by competing considerations rather than clear-cut preferences. Whileโ€ฆ

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ProtoGuard-SL: Prototype Consistency Based Backdoor Defense for Vertical Split Learning

Yuhan Shui, Ruobin Jin, Zhihao Dou, Zhiqiang Gao ยท 2026

Vertical split learning (SL) enables collaborative model training across parties holding complementary features without sharing raw data, but recent work has shown that it is highly vulnerable to poisโ€ฆ

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YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support

Dina Albassam, Kexin Quan, Mengke Wu, Sanika Pande, ChengXiang Zhai, Yun Huang ยท 2026

YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: learners must decide whโ€ฆ

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Computer Science Preprint PDF DOI

SwEYEpinch: Exploring Intuitive, Efficient Text Entry for Extended Reality via Eye and Hand Tracking

Ziheng "Leo" Li, Xichen He, Mengyuan "Millie" Wu, Zeyi Tong, Haowen Wei, Benjamin Yang, Steven Feiner, Paul Sajda ยท 2026

Despite steady progress, text entry in Extended Reality (XR) often remains slower and more effortful than typing on a physical keyboard or touchscreen. We explore a simple idea: use gaze to swipe throโ€ฆ

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Align then Train: Efficient Retrieval Adapter Learning

Seiji Maekawa, Moin Aminnaseri, Pouya Pezeshkpour, Estevam Hruschka ยท 2026

Dense retrieval systems increasingly need to handle complex queries. In many realistic settings, users express intent through long instructions or task-specific descriptions, while target documents reโ€ฆ

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SDVDiag: Using Context-Aware Causality Mining for the Diagnosis of Connected Vehicle Functions

Matthias Wei{ss}, Falk Dettinger, Elias Detrois, Nasser Jazdi, Michael Weyrich ยท 2026

Real-world implementations of connected vehicle functions are spreading steadily, yet operating these functions reliably remains challenging due to their distributed nature and the complexity of the uโ€ฆ

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A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security

Rahul Jaiswal, Per-Arne Andersen, Linga Reddy Cenkeramaddi, Lei Jiao, Ole-Christoffer Granmo ยท 2026

The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling seamless connectivity among medical devices, systems, and services. However, it also introduces serioโ€ฆ

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Policy-Governed LLM Routing with Intent Matching for Instrument Laboratories

Emmanuel A. Olowe, Danial Chitnis ยท 2026

AI tutoring systems in engineering labs face a tension between providing sufficient assistance and preserving learning opportunities. Existing systems typically offer instructors limited control over โ€ฆ

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Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition

Chengling Guo, Yuntao Shou, Tao Meng, Wei Ai, Yun Tan, Keqin Li ยท 2026

Multimodal emotion recognition in conversations aims to infer utterance-level emotions by jointly modeling textual, acoustic, and visual cues within context. Despite recent progress, key challenges reโ€ฆ

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Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition

Denis Neumuller, Sebastian Boll, David Schuler, Matthias Tichy ยท 2026

Context: Since it is well-established that developers spend a substantial portion of their time understanding source code, the ability to automatically identify algorithms within source code presents โ€ฆ

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User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation

Jing Du, Zesheng Ye, Congbo Ma, Feng Liu, Flora. D. Salim ยท 2026

Multi-modal recommendation (MMR) enriches item representations by introducing item content, e.g., visual and textual descriptions, to improve upon interaction-only recommenders. The success of MMR hinโ€ฆ

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Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse

Ibrahim Aliyu, Seungmin Oh, Sangwon Oh, Jinsul Kim ยท 2026

Advancements in extended reality (XR) are driving the development of the metaverse, which demands efficient real-time transformation of 2D scenes into 3D objects, a computation-intensive process that โ€ฆ

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Split and Conquer Partial Deepfake Speech

Inbal Rimon, Oren Gal, Haim Permuter ยท 2026

Partial deepfake speech detection requires identifying manipulated regions that may occur within short temporal portions of an otherwise bona fide utterance, making the task particularly challenging fโ€ฆ

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LLM+Graph@VLDB'2025 Workshop Summary

Yixiang Fang, Arijit Khan, Tianxing Wu, Da Yan, Shu Wang ยท 2026

The integration of large language models (LLMs) with graph-structured data has become a pivotal and fast evolving research frontier, drawing strong interest from both academia and industry. The 2nd LLโ€ฆ

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Dependency-Guided Repository-Level C-to-Rust Translation with Reinforcement Alignment

Jia Feng, Wenjie Gan, Cuiyun Gao, Chaozheng Wang, Feng Luo, Xin Xia, Ge Li, Kui Liu ยท 2026

Automating C-to-Rust migration is critical for improving software security without sacrificing performance. Traditional rule-based methods struggle with diverse C idioms, often producing rigid and uniโ€ฆ

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