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sCellST predicts single-cell gene expression from H& E images A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus persica (L.) Batsch) Leaves AI models were given four weeks of therapy: the results worried researchers NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models
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sCellST predicts single-cell gene expression from H& E images

January 9, 2026 Admin
AI RESEARCH

A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus persica (L.) Batsch) Leaves

January 9, 2026 Admin
AI RESEARCH

sCellST predicts single-cell gene expression from H& E images

January 9, 2026 Admin
AI RESEARCH

A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus persica (L.) Batsch) Leaves

January 9, 2026 Admin
AI RESEARCH

AI models were given four weeks of therapy: the results worried researchers

January 9, 2026 Admin
AI RESEARCH

NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning

January 8, 2026 Admin
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MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models

January 8, 2026 Admin
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sCellST predicts single-cell gene expression from H& E images
AI RESEARCH
sCellST predicts single-cell gene expression from H& E images
A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus persica (L.) Batsch) Leaves
AI RESEARCH
A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus persica (L.) Batsch) Leaves
AI models were given four weeks of therapy: the results worried researchers
AI RESEARCH
AI models were given four weeks of therapy: the results worried researchers
NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning
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NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning
AI Education: How to Get Ahead in the 21st Century Job Market!
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The Power of NLP: How to Transform Text into Actionable Insights!
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The AI Breakthrough That Could Change the World!
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sCellST predicts single-cell gene expression from H& E images
AI RESEARCH
sCellST predicts single-cell gene expression from H& E images
A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus persica (L.) Batsch) Leaves
AI RESEARCH
A cost-effective image-based machine learning framework for automating active iron estimation in Peach (Prunus persica (L.) Batsch) Leaves
AI models were given four weeks of therapy: the results worried researchers
AI RESEARCH
AI models were given four weeks of therapy: the results worried researchers
NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning
AI RESEARCH
NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning
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Interpretation, extrapolation and perturbation of single cells

January 2, 2026 Admin

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HOLOGRAPH: Active Causal Discovery via Sheaf-Theoretic Alignment of Large Language Model Priors

January 1, 2026 Admin

arXiv:2512.24478v1 Announce Type: cross Abstract: Causal discovery from observational data remains fundamentally limited by identifiability constraints. Recent work has explored…

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Hear: Hierarchically Enhanced Aesthetic Representations For Multidimensional Music Evaluation

January 1, 2026 Admin

arXiv:2511.18869v2 Announce Type: replace-cross Abstract: Evaluating song aesthetics is challenging due to the multidimensional nature of musical perception and the…

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A Survey on Graph Neural Networks for Fraud Detection in Ride Hailing Platforms

January 1, 2026 Admin

arXiv:2512.23777v1 Announce Type: cross Abstract: This study investigates fraud detection in ride hailing platforms through Graph Neural Networks (GNNs),focusing on…

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Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning

January 1, 2026 Admin

arXiv:2512.24492v1 Announce Type: cross Abstract: Congenital heart disease remains the most common congenital anomaly and a leading cause of neonatal…

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An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation

January 1, 2026 Admin

arXiv:2505.03452v3 Announce Type: replace-cross Abstract: Optimizing Retrieval-Augmented Generation (RAG) configurations for specific tasks is a complex and resource-intensive challenge. Motivated…

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Science in 2026: what to expect this year

January 1, 2026 Admin

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Bidirectional RAG: Safe Self-Improving Retrieval-Augmented Generation Through Multi-Stage Validation

December 31, 2025 Admin

arXiv:2512.22199v1 Announce Type: new Abstract: Retrieval-Augmented Generation RAG systems enhance large language models by grounding responses in external knowledge bases,…

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Deep Generative Models for Synthetic Financial Data: Applications to Portfolio and Risk Modeling

December 31, 2025 Admin

arXiv:2512.21798v2 Announce Type: replace-cross Abstract: Synthetic financial data provides a practical solution to the privacy, accessibility, and reproducibility challenges that…

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APO: Alpha-Divergence Preference Optimization

December 31, 2025 Admin

arXiv:2512.22953v1 Announce Type: cross Abstract: Two divergence regimes dominate modern alignment practice. Supervised fine-tuning and many distillation-style objectives implicitly minimize…

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sCellST predicts single-cell gene expression from H& E images

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