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Scoured 29377 posts in 55.6 ms
Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation  📝Text Parsing
arxiv.org·5h
Honey, I Shrunk the Coding Agent  💻Coding Agents
itayinbarr.substack.com·6d·Substack
Why Tiny Language Models Are Quietly Replacing Big LLMs in Enterprise Analytics  🦙Ollama
pub.towardsai.net
·1d
Temporal Language Models  🎯Embedding Models
calcifercomputing.com·3d·Hacker News
dogmaticdev/SIMD-Tokenizer: A Hyper Optimzed Tokenizer written in handwritten assembly. Made for SSE2 cpu architectures.  🏹Apache Arrow
github.com·5d·Hacker News
Fast Attention for Short Sequences  📏ANN Benchmarks
blog.qwertyforce.dev·5d·Hacker News
What if your language model could reason efficiently in an entirely new language?  💻Programming languages
threadreaderapp.com·3d
ReTokSync: Self-Synchronizing Tokenization Disambiguation for Generative Linguistic Steganography  🗜️Zstd
arxiv.org·2d
Differentially-Private Text Rewriting reshapes Linguistic Style  💻Programming languages
arxiv.org·1d
CL-bench Life: Can Language Models Learn from Real-Life Context?  💻Programming languages
arxiv.org·5h
Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding  ⚙️Language Runtimes
arxiv.org·5h
Training a Tokenizer That Actually Speaks Italian  📝Text Parsing
pub.towardsai.net
·6d
Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models  📊Model Serving Economics
arxiv.org·2d
Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs  🔢Binary Embeddings
arxiv.org·5h
A New Semisupervised Technique for Polarity Analysis using Masked Language Models  📝Text Parsing
arxiv.org·1d
VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations  ✨Gemini
arxiv.org·2d
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models  🧠LLM Inference
arxiv.org·1d
Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models  📝Text Parsing
arxiv.org·4d
The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions  💰Tokenomics
arxiv.org·3d
KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters  📝Text Parsing
arxiv.org·3d

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