My first fifteen compilers (2019)
⚙️Compiler Design
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Topographical sparse mapping: A training framework for deep learning models
📐Linear Algebra
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The Illustrated NeurIPS 2025: A Visual Map of the AI Frontier
newsletter.languagemodels.co·1d
🔲Cellular Automata
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·18h
📚Automata Learning
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·18h
📚Automata Learning
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Panther: A Cost-Effective Privacy-Preserving Framework for GNN Training and Inference Services in Cloud Environments
arxiv.org·18h
λFunctional Programming
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·1d
🐫OCaml
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Parsing Validation
lesswrong.com·2h
🔀Brzozowski Derivatives
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Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
arxiv.org·18h
📚Automata Learning
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·18h
🎯Hindley-Milner
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FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding
arxiv.org·18h
⚙️Compiler Design
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
💎Refinement Types
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Building Syllabi – Agentic AI with Vercel AI SDK, Dynamic Tool Loading, and RAG
🎮Verification Games
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