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All ⚡ AI Lessons (22979) ArXiv cs.AIDev.to AIMedium · ProgrammingMedium · Machine LearningMedium · AIMedium · Cybersecurity
ArXiv cs.AI 📄 Paper 6d ago
Self-Evolving Software Agents
arXiv:2604.27264v1 Announce Type: cross Abstract: Autonomous agents can adapt their behaviour to changing environments, but remain bound to requirements, goals,
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ArXiv cs.AI 📄 Paper 6d ago
From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
arXiv:2604.27267v1 Announce Type: cross Abstract: As large language models are integrated into autonomous robotic systems for task planning and control, comprom
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ArXiv cs.AI 📄 Paper 6d ago
When 2D Tasks Meet 1D Serialization: On Serialization Friction in Structured Tasks
arXiv:2604.27272v1 Announce Type: cross Abstract: Large language models (LLMs) conventionally process structured inputs as 1D token sequences. While natural for
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ArXiv cs.AI 📄 Paper 6d ago
Evaluating Epistemic Guardrails in AI Reading Assistants: A Behavioral Audit of a Minimal Prototype
arXiv:2604.27275v1 Announce Type: cross Abstract: Large language model (LLM) reading assistants are increasingly used in settings that require interpretation ra
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ArXiv cs.AI 📄 Paper 6d ago
BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
arXiv:2604.27277v1 Announce Type: cross Abstract: Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods
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ArXiv cs.AI 📄 Paper 6d ago
Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents
arXiv:2604.27283v1 Announce Type: cross Abstract: Large language model (LLM)-based coding agents increasingly rely on external memory to reuse prior debugging e
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ArXiv cs.AI 📄 Paper 6d ago
BoostLoRA: Growing Effective Rank by Boosting Adapters
arXiv:2604.27308v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning (PEFT) methods face a tradeoff between adapter size and expressivity: ultra-lo
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ArXiv cs.AI 📄 Paper 6d ago
Pragmos: A Process Agentic Modeling System
arXiv:2604.27311v1 Announce Type: cross Abstract: The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In
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ArXiv cs.AI 📄 Paper 6d ago
Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations
arXiv:2604.27321v1 Announce Type: cross Abstract: Security Operations Centers (SOCs) face mounting operational challenges. These challenges come from increasing
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ArXiv cs.AI 📄 Paper 6d ago
Exploring the Adoption Intention in Using AI-Enabled Educational Tools Among Preservice Teachers in the Philippines: A Partial-Least Square Modeling
arXiv:2604.27346v1 Announce Type: cross Abstract: This study examines the factors influencing pre-service teachers' behavioral intention to use AI-enabled educa
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ArXiv cs.AI 📄 Paper 6d ago
Profiles of AI Dependency: A Latent Class Analysis of Filipino Students' Academic Competencies
arXiv:2604.27349v1 Announce Type: cross Abstract: The increasing dependency among Filipino college students on artificial intelligence (AI) poses concerns about
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ArXiv cs.AI 📄 Paper 6d ago
TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks
arXiv:2604.27356v1 Announce Type: cross Abstract: Heterogeneous graphs are widely used to model multi-relational systems, but missing node attributes remain a m
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ArXiv cs.AI 📄 Paper 6d ago
COHERENCE: Benchmarking Fine-Grained Image-Text Alignment in Interleaved Multimodal Contexts
arXiv:2604.27389v1 Announce Type: cross Abstract: In recent years, Multimodal Large Language Models (MLLMs) have achieved remarkable progress on a wide range of
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ArXiv cs.AI 📄 Paper 6d ago
Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation
arXiv:2604.27405v1 Announce Type: cross Abstract: We adapted the Reliable Change Index (RCI; Jacobson and Truax, 1991) from clinical psychology to item-level LL
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ArXiv cs.AI 📄 Paper 6d ago
Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors
arXiv:2604.27426v1 Announce Type: cross Abstract: Local fine-tuning datasets routinely contain sensitive secrets such as API keys, personal identifiers, and fin
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ArXiv cs.AI 📄 Paper 6d ago
AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning
arXiv:2604.27434v1 Announce Type: cross Abstract: Federated learning (FL) is a popular distributed learning paradigm in machine learning, which enables multiple
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ArXiv cs.AI 📄 Paper 6d ago
ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space
arXiv:2604.27443v1 Announce Type: cross Abstract: Generating continuous-time, continuous-space stochastic processes (e.g., videos, weather forecasts) conditione
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ArXiv cs.AI 📄 Paper 6d ago
Sampler-Robust Optimization under Generative Models
arXiv:2604.27447v1 Announce Type: cross Abstract: Modern stochastic optimization pipelines increasingly rely on learned generative models to represent uncertain
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ArXiv cs.AI 📄 Paper 6d ago
RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC
arXiv:2604.27450v1 Announce Type: cross Abstract: Dense, dynamic crowds pose a persistent challenge for autonomous mobile robots. Purely reactive planning metho
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ArXiv cs.AI 📄 Paper 6d ago
Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion
arXiv:2604.27462v1 Announce Type: cross Abstract: Graph few-shot learning, which focuses on effectively learning from only a small number of labeled nodes to qu
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ArXiv cs.AI 📄 Paper 6d ago
Security Attack and Defense Strategies for Autonomous Agent Frameworks: A Layered Review with OpenClaw as a Case Study
arXiv:2604.27464v1 Announce Type: cross Abstract: Autonomous agent frameworks built upon large language models (LLMs) are evolving into complex, tool-integrated
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ArXiv cs.AI 📄 Paper 6d ago
Debiasing Reward Models via Causally Motivated Inference-Time Intervention
arXiv:2604.27495v1 Announce Type: cross Abstract: Reward models (RMs) play a central role in aligning large language models (LLMs) with human preferences. Howev
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ArXiv cs.AI 📄 Paper 6d ago
Knowledge Affordances for Hybrid Human-AI Information Seeking
arXiv:2604.27539v1 Announce Type: cross Abstract: As information ecosystems grow more heterogeneous, both humans and artificial agents increasingly face a simpl
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ArXiv cs.AI 📄 Paper 6d ago
APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation
arXiv:2604.27550v1 Announce Type: cross Abstract: Privacy policies are essential for users to understand how service providers handle their personal data. Howev
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