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All ⚡ AI Lessons (21129) ArXiv cs.AIDev.to AIForbes InnovationMedium · AIMedium · ProgrammingMedium · Cybersecurity
ArXiv cs.AI 📄 Paper 1d ago
Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives
arXiv:2604.25423v1 Announce Type: cross Abstract: Do large language models (LLMs) truly acquire embodied cognition and cultural conventions from text? We introd
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ArXiv cs.AI 📄 Paper 1d ago
Generative UI as an Accessibility Bridge: Lessons from C2C E-Commerce
arXiv:2604.25455v1 Announce Type: cross Abstract: Web accessibility rests on static standards and developer compliance. That model frays in platforms where cont
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ArXiv cs.AI 📄 Paper 1d ago
An Investigation of Linguistic Biases in LLM-Based Recommendations
arXiv:2604.25456v1 Announce Type: cross Abstract: We investigate linguistic biases in LLM-based restaurant and product recommendations given prompts varying acr
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ArXiv cs.AI 📄 Paper 1d ago
DDA-Thinker: Decoupled Dual-Atomic Reinforcement Learning for Reasoning-Driven Image Editing
arXiv:2604.25477v1 Announce Type: cross Abstract: Recent image editing models have achieved strong visual fidelity but often struggle with tasks requiring compl
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ArXiv cs.AI 📄 Paper 1d ago
From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation
arXiv:2604.25482v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown strong potential for narrative generation, but their use in complex, m
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ArXiv cs.AI 📄 Paper 1d ago
The Forensic Cost of Watermark Removal
arXiv:2604.25491v1 Announce Type: cross Abstract: Current watermark removal methods are evaluated on two axes: attack success rate and perceptual quality. We sh
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ArXiv cs.AI 📄 Paper 1d ago
SymphonyGen: 3D Hierarchical Orchestral Generation with Controllable Harmony Skeleton
arXiv:2604.25498v1 Announce Type: cross Abstract: Generating symphonic music requires simultaneously managing high-level structural form and dense, multi-track
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ArXiv cs.AI 📄 Paper 1d ago
Assistants, Not Architects: The Role of LLMs in Networked Systems Design
arXiv:2604.25506v1 Announce Type: cross Abstract: Designing the architecture of modern networked systems requires navigating a large, combinatorial space of har
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ArXiv cs.AI 📄 Paper 1d ago
AI as Consumer and Participant: A Co-Design Agenda for MBSE Substrates and Methodology
arXiv:2604.25526v1 Announce Type: cross Abstract: AI tools are being deployed over MBSE models today, and those models were not designed for this kind of consum
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ArXiv cs.AI 📄 Paper 1d ago
The Surprising Effectiveness of Canonical Knowledge Distillation for Semantic Segmentation
arXiv:2604.25530v2 Announce Type: cross Abstract: Recent knowledge distillation (KD) methods for semantic segmentation introduce increasingly complex hand-craft
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ArXiv cs.AI 📄 Paper 1d ago
Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems
arXiv:2604.25544v1 Announce Type: cross Abstract: Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industria
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ArXiv cs.AI 📄 Paper 1d ago
On Halting vs Converging in Recurrent Graph Neural Networks
arXiv:2604.25551v1 Announce Type: cross Abstract: Recurrent Graph Neural Networks (RGNNs) extend standard GNNs by iterating message-passing until some stopping
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ArXiv cs.AI 📄 Paper 1d ago
From CRUD to Autonomous Agents: Formal Validation and Zero-Trust Security for Semantic Gateways in AI-Native Enterprise Systems
arXiv:2604.25555v1 Announce Type: cross Abstract: Enterprise software engineering is shifting away from deterministic CRUD/REST architectures toward AI-native s
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ArXiv cs.AI 📄 Paper 1d ago
SnapGuard: Lightweight Prompt Injection Detection for Screenshot-Based Web Agents
arXiv:2604.25562v1 Announce Type: cross Abstract: Web agents have emerged as an effective paradigm for automating interactions with complex web environments, ye
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ArXiv cs.AI 📄 Paper 1d ago
Benchmarking bandgap prediction in semiconductors under experimental and realistic evaluation settings
arXiv:2604.25568v1 Announce Type: cross Abstract: Accurate bandgap prediction is crucial for semiconductor applications, yet machine learning models trained on
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ArXiv cs.AI 📄 Paper 1d ago
Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling
arXiv:2604.25578v1 Announce Type: cross Abstract: We present Marco-MoE, a suite of fully open multilingual sparse Mixture-of-Experts (MoE) models. Marco-MoE fea
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ArXiv cs.AI 📄 Paper 1d ago
Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models
arXiv:2604.25591v1 Announce Type: cross Abstract: Recent audio-aware large language models (ALLMs) have demonstrated strong capabilities across diverse audio un
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ArXiv cs.AI 📄 Paper 1d 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 1d 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 1d 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 1d 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 1d 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 1d 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 1d 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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