SAT Requires Exhaustive Search
link.springer.com·9h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Where Matters: Location Feature Engineering for Search & Recs
shaped.ai·1d
📏Range Queries
Building and Aligning Comparable Corpora
arxiv.org·1h
📜Digital Philology
Show HN: Using DSPy to enrich a dataset of the Nobel laureate network
blog.kuzudb.com·4h·
Discuss: Hacker News
📊Citation Graphs
Understanding the KNN Algorithm: Finding Your Nearest Neighbors
dev.to·3d·
Discuss: DEV
🗂️Vector Search
Vision transformer-based multi-camera multi-object tracking framework for dairy cow monitoring
arxiv.org·1h
🤖Advanced OCR
318
skynettoday.com·1d
🌀Brotli Internals
TRACEALIGN -- Tracing the Drift: Attributing Alignment Failures to Training-Time Belief Sources in LLMs
arxiv.org·1h
💻Local LLMs
original ↗
dotat.at·1d·
Discuss: Lobsters, Hacker News
🌳Trie Structures
Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
arxiv.org·1h
🌐Computational Topology
Efficient Byzantine Consensus MechanismBased on Reputation in IoT Blockchain
arxiv.org·1h
🤝Consensus Algorithms
Building a Real Estate Tokenization dApp with Flare's Zero-Fee Oracles
dev.to·15h·
Discuss: DEV
🚚Data Migration
Dataset Condensation with Color Compensation
arxiv.org·1h
🌈Color Science
MMRAG-DocQA: A Multi-Modal Retrieval-Augmented Generation Method for Document Question-Answering with Hierarchical Index and Multi-Granularity Retrieval
arxiv.org·1d
📊Multi-vector RAG
[P] Implementing Einsum
lyadalachanchu.github.io·1d
📐Linear Algebra
Personalized Safety Alignment for Text-to-Image Diffusion Models
arxiv.org·1h
📊Learned Metrics
AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization
arxiv.org·1h
💻Local LLMs
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
arxiv.org·1h
🕸️Graph Embeddings
LLMs - Embeddings 01
dev.to·23h·
Discuss: DEV
🧮Vector Embeddings
Trainable Dynamic Mask Sparse Attention
arxiv.org·1h
📊Learned Metrics