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Natural language processing for word sense disambiguation and information extraction
arxiv.orgยท12hยท
Discuss: r/compsci
๐Ÿ“ฅFeed Aggregation
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I built a production-ready document parser for RAG apps that actually handles complex tables (full tutorial + code)
dev.toยท1dยท
Discuss: DEV
๐Ÿ“‹Document Grammar
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Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints
arxiv.orgยท2d
๐ŸงฎVector Embeddings
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Voices from the Past: Retrieval-Augmented Dialogues with Chinese Historical Figures
digitalorientalist.comยท1d
๐Ÿ›Digital humanities
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Document search using Claude and an inverted index.
annanay.devยท4dยท
Discuss: Hacker News
๐Ÿ—‚๏ธVector Databases
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Deep Convolutional Networks on Graph-Structured Data
paperium.netยท1dยท
Discuss: DEV
๐Ÿ“ŠSpectral Graphs
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TRUNAJOD: A text complexity library for text analysis built on spaCy โ€” TRUNAJOD 0.1.1 documentation
trunajod20.readthedocs.ioยท5h
๐Ÿ“Parsing Grammars
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.eduยท1d
๐Ÿง Machine Learning
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Climate Monitoring Search Engine: Multi-Vectors in Qdrant
pub.towardsai.net
ยท4d
๐Ÿ—‚๏ธVector Search
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Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
dev.toยท17hยท
Discuss: DEV
๐ŸงฎVector Embeddings
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Deep Kronecker Network
arxiv.orgยท2d
๐Ÿง Machine Learning
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.toยท56mยท
Discuss: DEV
๐Ÿ“Text Parsing
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Benchmarking and Enhancing VLM for Compressed Image Understanding
arxiv.orgยท2d
๐Ÿง Learned Compression
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Retrieval-Augmented Generation for Large Language Models: A Survey
paperium.netยท5dยท
Discuss: DEV
๐ŸŒ€Brotli Internals
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Model Merging via Multi-Teacher Knowledge Distillation
arxiv.orgยท2d
โง—Information Bottleneck
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aashirpersonal/semantic-coverage: Automated detection of knowledge gaps and blind spots in RAG vector stores.
github.comยท3dยท
Discuss: Hacker News
๐ŸŒ€Brotli Internals
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MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
arxiv.orgยท2d
๐Ÿ”Information Retrieval
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.comยท2d
๐Ÿ“ŠSearch Ranking
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Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG)
vibe.forem.comยท3dยท
Discuss: DEV
โœ…Format Verification
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.comยท5d
๐Ÿง Machine Learning
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