"Our research is greatly sped up by AI but AI still needs us"
✓Automated Theorem Proving
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Deep Reinforcement Learning Book
🧠Machine Learning
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Linear Causal Discovery with Interventional Constraints
arxiv.org·1d
✨Effect Handlers
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How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
arxiv.org·2d
🧠Machine Learning
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Geometric Nets: Unleashing the Power of Shape in AI by Arvind Sundararajan
🌀Differential Geometry
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Building an Intelligent RAG System with Query Routing, Validation and Self-Correction
🔍Information Retrieval
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Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism
arxiv.org·1d
💻Local LLMs
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MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction
arxiv.org·1d
🧠Machine Learning
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Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise
arxiv.org·1d
📊Rate-Distortion Theory
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Wasserstein Regression as a Variational Approximation of Probabilistic Trajectories through the Bernstein Basis
arxiv.org·1d
🌀Differential Geometry
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Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation
arxiv.org·1d
🧠Machine Learning
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Finding Culture-Sensitive Neurons in Vision-Language Models
arxiv.org·2d
🚀SIMD Text Processing
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Do LLMs Signal When They're Right? Evidence from Neuron Agreement
arxiv.org·1d
💻Local LLMs
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DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI
arxiv.org·2d
🌀Differential Geometry
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Building a Self-Improving RAG System with Smart Query Routing and Answer Validation
🔍Information Retrieval
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Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis
arxiv.org·1d
📥Feed Aggregation
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