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All ⚡ AI Lessons (18478) ArXiv cs.AIDev.to AIDev.to · FORUM WEBForbes InnovationMedium · ProgrammingMedium · AI
ArXiv cs.AI 📄 Paper 1d ago
Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models
arXiv:2604.21530v1 Announce Type: cross Abstract: Lung adenocarcinoma (LUAD) grading depends on accurately identifying growth patterns, which are indicators of
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ArXiv cs.AI 📄 Paper 1d ago
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation
arXiv:2604.21536v1 Announce Type: cross Abstract: Sequential recommender systems have achieved significant success in modeling temporal user behavior but remain
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ArXiv cs.AI 📄 Paper 1d ago
Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization
arXiv:2604.21567v1 Announce Type: cross Abstract: Supply chain resilience and efficiency are vital in industries characterized by volatile demand and uncertain
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ArXiv cs.AI 📄 Paper 1d ago
A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair
arXiv:2604.21579v1 Announce Type: cross Abstract: LLM-based automated program repair (APR) techniques have shown promising results in reducing debugging costs.
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ArXiv cs.AI 📄 Paper 1d ago
DryRUN: On the Role of Public Tests in LLM-Driven Code Generation
arXiv:2604.21598v1 Announce Type: cross Abstract: Multi-agent frameworks are widely used in autonomous code generation and have applications in complex algorith
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ArXiv cs.AI 📄 Paper 1d ago
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
arXiv:2604.21602v1 Announce Type: cross Abstract: Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing atten
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ArXiv cs.AI 📄 Paper 1d ago
Using ASP(Q) to Handle Inconsistent Prioritized Data
arXiv:2604.21603v1 Announce Type: cross Abstract: We explore the use of answer set programming (ASP) and its extension with quantifiers, ASP(Q), for inconsisten
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ArXiv cs.AI 📄 Paper 1d ago
Process Supervision via Verbal Critique Improves Reasoning in Large Language Models
arXiv:2604.21611v1 Announce Type: cross Abstract: Inference-time scaling for LLM reasoning has focused on three axes: chain depth, sample breadth, and learned s
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ArXiv cs.AI 📄 Paper 1d ago
Promoting Simple Agents: Ensemble Methods for Event-Log Prediction
arXiv:2604.21629v1 Announce Type: cross Abstract: We compare lightweight automata-based models (n-grams) with neural architectures (LSTM, Transformer) for next-
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ArXiv cs.AI 📄 Paper 1d ago
Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
arXiv:2604.21640v1 Announce Type: cross Abstract: Autonomous underwater vehicles are required to perform multiple tasks adaptively and in an explainable manner
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ArXiv cs.AI 📄 Paper 1d ago
Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach
arXiv:2604.21651v1 Announce Type: cross Abstract: Denoising of periodic signals and accurate waveform estimation are core tasks across many signal processing do
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ArXiv cs.AI 📄 Paper 1d ago
Causal Disentanglement for Full-Reference Image Quality Assessment
arXiv:2604.21654v1 Announce Type: cross Abstract: Existing deep network-based full-reference image quality assessment (FR-IQA) models typically work by performi
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ArXiv cs.AI 📄 Paper 1d ago
Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales
arXiv:2604.21667v1 Announce Type: cross Abstract: Beyond exploring disaggregated labels for modeling perspectives, annotator rationales provide fine-grained sig
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ArXiv cs.AI 📄 Paper 1d ago
Geometric Monomial (GEM): a family of rational 2N-differentiable activation functions
arXiv:2604.21677v1 Announce Type: cross Abstract: The choice of activation function plays a crucial role in the optimization and performance of deep neural netw
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ArXiv cs.AI 📄 Paper 1d ago
Efficient Logic Gate Networks for Video Copy Detection
arXiv:2604.21694v1 Announce Type: cross Abstract: Video copy detection requires robust similarity estimation under diverse visual distortions while operating at
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ArXiv cs.AI 📄 Paper 1d ago
Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers
arXiv:2604.21700v1 Announce Type: cross Abstract: The growing application of large language models (LLMs) in safety-critical domains has raised urgent concerns
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ArXiv cs.AI 📄 Paper 1d ago
Fairness under uncertainty in sequential decisions
arXiv:2604.21711v1 Announce Type: cross Abstract: Fair machine learning (ML) methods help identify and mitigate the risk that algorithms encode or automate soci
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ArXiv cs.AI 📄 Paper 1d ago
Building a Precise Video Language with Human-AI Oversight
arXiv:2604.21718v1 Announce Type: cross Abstract: Video-language models (VLMs) learn to reason about the dynamic visual world through natural language. We intro
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ArXiv cs.AI 📄 Paper 1d ago
AEL: Agent Evolving Learning for Open-Ended Environments
arXiv:2604.21725v1 Announce Type: cross Abstract: LLM agents increasingly operate in open-ended environments spanning hundreds of sequential episodes, yet they
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ArXiv cs.AI 📄 Paper 1d ago
Agentic AI-assisted coding offers a unique opportunity to instill epistemic grounding during software development
arXiv:2604.21744v1 Announce Type: cross Abstract: The capabilities of AI-assisted coding are progressing at breakneck speed. Chat-based vibe coding has evolved
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ArXiv cs.AI 📄 Paper 1d ago
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
arXiv:2604.21748v1 Announce Type: cross Abstract: Long-term conversational agents need memory systems that capture relationships between events, not merely isol
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ArXiv cs.AI 📄 Paper 1d ago
Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
arXiv:2604.21751v1 Announce Type: cross Abstract: LLMs have been showing limitations when it comes to cultural coverage and competence, and in some cases show r
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ArXiv cs.AI 📄 Paper 1d ago
SyMTRS: Benchmark Multi-Task Synthetic Dataset for Depth, Domain Adaptation and Super-Resolution in Aerial Imagery
arXiv:2604.21801v1 Announce Type: cross Abstract: Recent advances in deep learning for remote sensing rely heavily on large annotated datasets, yet acquiring hi
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ArXiv cs.AI 📄 Paper 1d ago
Quotient-Space Diffusion Models
arXiv:2604.21809v1 Announce Type: cross Abstract: Diffusion-based generative models have reformed generative AI, and have enabled new capabilities in the scienc
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