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

Leaf-centric Logical Topology Design for OCS-based GPU Clusters

Xinchi Han, Weihao Jiang, Yingming Mao, Yike Liu, Zhuoran Liu, Yongxi Lv, Peirui Cao, Zhuotao Liu, Ximeng Liu, Xinbing Wang, Changbo Wu, Zihan Zhu, Wu Dongchao, Yang Jian, Zhang Zhanbang, Yuansen Chen, Shizhen Zhao ยท 2026

Recent years have witnessed the growing deployment of optical circuit switches (OCS) in commercial GPU clusters (e.g., Google A3 GPU cluster) optimized for machine learning (ML) workloads. Such clusteโ€ฆ

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Computer Science Preprint PDF DOI

A Survey on AI for 6G: Challenges and Opportunities

Constantina Chatzieleftheriou, Eirini Liotou ยท 2026

As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in shaping the future oโ€ฆ

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Computer Science Preprint PDF DOI

Silent Guardians: Independent and Secure Decision Tree Evaluation Without Chatter

Jinyuan Li, Liang Feng Zhang ยท 2026

As machine learning as a service (MLaaS) gains increasing popularity, it raises two critical challenges: privacy and verifiability. For privacy, clients are reluctant to disclose sensitive private infโ€ฆ

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Computer Science Preprint PDF DOI

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation

Yulei Huang, Hao Deng, Haibo Xing, Jinxin Hu, Chuanfei Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng ยท 2026

Conversion objectives in large-scale recommender systems are sparse, making them difficult to optimize. Generative recommendation (GR) partially alleviates data sparsity by organizing multi-type behavโ€ฆ

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Computer Science Preprint PDF DOI

Is One-Shot In-Context Learning Helpful for Data Selection in Task-Specific Fine-Tuning of Multimodal LLMs?

Xiao An, Jiaxing Sun, Ting Hu, Wei He ยท 2026

Injecting world knowledge into pretrained multimodal large language models (MLLMs) is essential for domain-specific applications. Task-specific fine-tuning achieves this by tailoring MLLMs to high-quaโ€ฆ

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Computer Science Preprint PDF DOI

Seeing the Unseen: Rethinking Illicit Promotion Detection with In-Context Learning

Sangyi Wu, Junpu Guo, Xianghang Mi ยท 2026

Illicit online promotion is a persistent threat that evolves to evade detection. Existing moderation systems remain tethered to platform-specific supervision and static taxonomies, a reactive paradigmโ€ฆ

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Computer Science Preprint PDF DOI

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers

Haochuan Kevin Wang, Zechen Zhang ยท 2026

Multi-agent LLM systems are entering production -- processing documents, managing workflows, acting on behalf of users -- yet their resilience to prompt injection is still evaluated with a single binaโ€ฆ

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Computer Science Preprint PDF DOI

FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation

Ruiyang Wang, Rong Pan, Zhengan Yao ยท 2026

Federated learning (FL) enables distributed clients to collaboratively train a global model using local private data. Nevertheless, recent studies show that conventional FL algorithms still exhibit deโ€ฆ

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Computer Science Preprint PDF DOI

A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation

Ying Zhang, Ningxi Cheng, Yizhu Gao, Hongmei Li, Lehong Shi, Nicholas Young, Geng Yuan, Xiaoming Zhai ยท 2026

Q-matrices are a cornerstone of theory-driven assessment and learning analytics, making item demands and students' underlying knowledge components and misconceptions explicit and actionable. However, โ€ฆ

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Computer Science Preprint PDF DOI

Physics-informed line-of-sight learning for scalable deterministic channel modeling

Xiucheng Wang, Junxi Huang, Conghao Zhou, Xuemin Shen, Nan Cheng ยท 2026

Deterministic channel modeling maps a physical environment to its site-specific electromagnetic response. Ray tracing produces complete multi-dimensional channel information but remains prohibitively โ€ฆ

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Computer Science Preprint PDF DOI

MGDIL: Multi-Granularity Summarization and Domain-Invariant Learning for Cross-Domain Social Bot Detection

Boyu Qiao, Yunman Chen, Kun Li, Wei Zhou, Songlin Hu, Yunya Song ยท 2026

Social bots increasingly infiltrate online platforms through sophisticated disguises, threatening healthy information ecosystems. Existing detection methods often rely on modality specific cues or locโ€ฆ

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Computer Science Preprint PDF DOI

Energy Efficient Orchestration in Multiple-Access Vehicular Aerial-Terrestrial 6G Networks

Mohammad Farhoudi, Hamidreza Mazandarani, Masoud Shokrnezhad, Tarik Taleb, Ignacio Lacalle ยท 2026

The proliferation of users, devices, and novel vehicular applications - propelled by advancements in autonomous systems and connected technologies - is precipitating an unprecedented surge in novel seโ€ฆ

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Computer Science Preprint PDF DOI

jaxsgp4: GPU-accelerated mega-constellation propagation with batch parallelism

Charlotte Priestley, Will Handley ยท 2026

As the population of anthropogenic space objects transitions from sparse clusters to mega-constellations exceeding 100,000 satellites, traditional orbital propagation techniques face a critical bottleโ€ฆ

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"Re-Tell the Fortune so I Can Believe It": How Chinese User Communities Engage with and Interpret GenAI-based Fortune-Telling

Long Ling, Xiyu Zheng, Gengchen Cao, Ray LC ยท 2026

People traditionally divine the future by interpreting natural phenomena as oracular signals, especially in societies adhering to traditional beliefs like China. With the advent of Generative AI (GenAโ€ฆ

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Computer Science Preprint PDF DOI

Invasive and Non-Invasive Neural Decoding of Motor Performance in Parkinson's Disease for Personalized Deep Brain Stimulation

Matthias Dold, Volker A. Coenen, Bastian Sajonz, Peter Reinacher, Peter Reinacher, Thomas Prokop, Marco Reisert, Sophia Gimple, Yasin Temel, Marcus L.F. Janssen, Michael Tangermann, Joana Pereira ยท 2026

Decoding motor performance from brain signals offers promising avenues for adaptive deep brain stimulation (aDBS) for Parkinson's disease (PD). In a two-center cohort of 19 PD patients executing a draโ€ฆ

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Computer Science Preprint PDF DOI

Instructor-Created Custom GPTs as Pedagogical Partners Fostering Immersion in Online Higher Education: Two Case Studies

Dennis Beck, Leonel Morgado ยท 2026

As online higher education expands, sustaining student engagement remains a critical challenge. This paper approaches immersive learning by investigating how custom GPTs foster immersion (as a state oโ€ฆ

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Computer Science Preprint PDF DOI

MAR3: Multi-Agent Recognition, Reasoning, and Reflection for Reference Audio-Visual Segmentation

Yuan Zhao, Zhenqi Jia, Yongqiang Zhang ยท 2026

Reference Audio-Visual Segmentation (Ref-AVS) aims to segment objects in audible videos based on multimodal cues in reference expressions. Previous methods overlook the explicit recognition of expressโ€ฆ

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Computer Science Preprint PDF DOI

RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning

Xinyu Zhang, Zhiteng Chao, Yonghao Wang, Bin Sun, Tianyun Ma, Tianmeng Yang, Jianan Mu, Jing Justin Ye, Huawei Li ยท 2026

Register Transfer Level (RTL) design translates high-level specifications into hardware using HDLs such as Verilog. Although LLM-based RTL generation is promising, the scarcity of functionally verifiaโ€ฆ

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Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning

Nicy Scaria, Silvester John Joseph Kennedy, Deepak Subramani ยท 2026

Most digital language learning curricula rely on discrete-item quizzes that test recall rather than applied conversational proficiency. When progression is driven by quiz performance, learners can advโ€ฆ

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Computer Science Preprint PDF DOI

Decentralized MARL for Coarse Correlated Equilibrium in Aggregative Markov Games

Siying Huang, Yifen Mu, Ge Chen ยท 2026

This paper studies the problem of decentralized learning of Coarse Correlated Equilibrium (CCE) in aggregative Markov games (AMGs), where each agent's instantaneous reward depends only on its own actiโ€ฆ

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