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All ⚡ AI Lessons (21843) ArXiv cs.AIDev.to AIMedium · AIMedium · ProgrammingForbes InnovationMedium · Machine Learning
ArXiv cs.AI 📄 Paper 5d ago
Emotive Architectures: The Role of LLMs in Adjusting Work Environments
arXiv:2604.25601v1 Announce Type: cross Abstract: In remote and hybrid work contexts, the integration of physical and digital environments is revolutionizing sp
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ArXiv cs.AI 📄 Paper 5d ago
Health System Scale Semantic Search Across Unstructured Clinical Notes
arXiv:2604.25605v1 Announce Type: cross Abstract: Introduction: Semantic search, which retrieves documents based on conceptual similarity rather than keyword ma
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ArXiv cs.AI 📄 Paper 5d ago
Large language models eroding science understanding: an experimental study
arXiv:2604.25639v1 Announce Type: cross Abstract: This paper is under review in AI and Ethics This study examines whether large language models (LLMs) can relia
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ArXiv cs.AI 📄 Paper 5d ago
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
arXiv:2604.25642v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have achieved remarkable progress in visual-textual understanding, yet th
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ArXiv cs.AI 📄 Paper 5d ago
LLM-ReSum: A Framework for LLM Reflective Summarization through Self-Evaluation
arXiv:2604.25665v1 Announce Type: cross Abstract: Reliable evaluation of large language model (LLM)-generated summaries remains an open challenge, particularly
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ArXiv cs.AI 📄 Paper 5d ago
CORAL: Adaptive Retrieval Loop for Culturally-Aligned Multilingual RAG
arXiv:2604.25676v1 Announce Type: cross Abstract: Multilingual retrieval-augmented generation (mRAG) is often implemented within a fixed retrieval space, typica
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ArXiv cs.AI 📄 Paper 5d ago
Spreadsheet Modeling Experiments Using GPTs on Small Problem Statements and the Wall Task
arXiv:2604.25689v1 Announce Type: cross Abstract: This paper investigates how GPT-based tools can assist in building reusable analytical spreadsheet models. Aft
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ArXiv cs.AI 📄 Paper 5d ago
Learning Generalizable Multimodal Representations for Software Vulnerability Detection
arXiv:2604.25711v1 Announce Type: cross Abstract: Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes stru
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ArXiv cs.AI 📄 Paper 5d ago
Cross-Lingual Jailbreak Detection via Semantic Codebooks
arXiv:2604.25716v1 Announce Type: cross Abstract: Safety mechanisms for large language models (LLMs) remain predominantly English-centric, creating systematic v
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ArXiv cs.AI 📄 Paper 5d ago
Verification of Neural Networks (Lecture Notes)
arXiv:2604.25733v1 Announce Type: cross Abstract: These lecture notes provide an introduction to the verification of neural networks from a theoretical perspect
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ArXiv cs.AI 📄 Paper 5d ago
SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?
arXiv:2604.25737v1 Announce Type: cross Abstract: Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmar
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ArXiv cs.AI 📄 Paper 5d ago
Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms
arXiv:2604.25757v1 Announce Type: cross Abstract: Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, cont
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ArXiv cs.AI 📄 Paper 5d ago
Measuring the Sensitivity of Classification Models with the Error Sensitivity Profile
arXiv:2604.25765v1 Announce Type: cross Abstract: The quality of training data is critical to the performance of machine learning models. In this paper, the Err
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ArXiv cs.AI 📄 Paper 5d ago
CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation
arXiv:2604.25774v1 Announce Type: cross Abstract: Accurate nutrient estimation from unstructured recipe text is an important yet challenging problem in dietary
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ArXiv cs.AI 📄 Paper 5d ago
Can Code Evaluation Metrics Detect Code Plagiarism?
arXiv:2604.25778v1 Announce Type: cross Abstract: Source Code Plagiarism Detection (SCPD) plays an important role in maintaining fairness and academic integrity
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ArXiv cs.AI 📄 Paper 5d ago
Sustained Gradient Alignment Mediates Subliminal Learning in a Multi-Step Setting: Evidence from MNIST Auxiliary Logit Distillation Experiment
arXiv:2604.25779v1 Announce Type: cross Abstract: In the MNIST auxiliary logit distillation experiment, a student can acquire an unintended teacher trait despit
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ArXiv cs.AI 📄 Paper 5d ago
At the Edge of the Heart: ULP FPGA-Based CNN for On-Device Cardiac Feature Extraction in Smart Health Sensors for Astronauts
arXiv:2604.25799v1 Announce Type: cross Abstract: The convergence of accelerating human spaceflight ambitions and critical terrestrial health monitoring demands
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ArXiv cs.AI 📄 Paper 5d ago
MAIC-UI: Making Interactive Courseware with Generative UI
arXiv:2604.25806v1 Announce Type: cross Abstract: Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers fo
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ArXiv cs.AI 📄 Paper 5d ago
PSI-Bench: Towards Clinically Grounded and Interpretable Evaluation of Depression Patient Simulators
arXiv:2604.25840v1 Announce Type: cross Abstract: Patient simulators are gaining traction in mental health training by providing scalable exposure to complex an
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ArXiv cs.AI 📄 Paper 5d ago
Towards Agentic Investigation of Security Alerts
arXiv:2604.25846v1 Announce Type: cross Abstract: Security analysts are overwhelmed by the volume of alerts and the low context provided by many detection syste
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ArXiv cs.AI 📄 Paper 5d ago
From Soliloquy to Agora: Memory-Enhanced LLM Agents with Decentralized Debate for Optimization Modeling
arXiv:2604.25847v1 Announce Type: cross Abstract: Optimization modeling underpins real-world decision-making in logistics, manufacturing, energy, and public ser
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ArXiv cs.AI 📄 Paper 5d ago
G-Loss: Graph-Guided Fine-Tuning of Language Models
arXiv:2604.25853v1 Announce Type: cross Abstract: Traditional loss functions, including cross-entropy, contrastive, triplet, and su pervised contrastive losses,
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ArXiv cs.AI 📄 Paper 5d ago
SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring
arXiv:2604.25855v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) achieve ever-stronger performance on visual-language tasks. Even as t
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ArXiv cs.AI 📄 Paper 5d ago
Investigation into In-Context Learning Capabilities of Transformers
arXiv:2604.25858v1 Announce Type: cross Abstract: Transformers have demonstrated a strong ability for in-context learning (ICL), enabling models to solve previo
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