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Scoured 24176 posts in 17.3 ms
LA-Sign: Looped Transformers with Geometry-aware Alignment for Skeleton-based Sign Language Recognition  🌀Hyperbolic Geometry
arxiv.org·1d·
tinyBigGAMES/Metamorf: A unified compiler-construction meta-language designed to define and build programming languages within a single .mor file. By describing tokens, grammar rules, semantic analysis, and code generation in one place, developers can produce native Win64 or Linux64 binaries via a built-in Zig/Clang pipeline.  🦀Rust Macros
github.com·3h·Hacker News·
RYS Part 3: LLMs think in geometry, not language — new results across 4 models, including code and math  🛠Language Design
dnhkng.github.io·6d·Hacker News, r/LocalLLaMA·
OmniVoice, high-quality TTS for 600+ Languages  🌳Context free grammars
zhu-han.github.io·5h·Hacker News·
From Prompt to Prediction: Understanding Prefill, Decode, and the KV Cache in LLMs  🚀SIMD Text Processing
machinelearningmastery.com·2d·
A+  📊APL Heritage
aplwiki.com·2d·Hacker News·
Parsing a Chinese Poem as a Formal System That Runs  🌲Parse Trees
jimiwen.substack.com·2d·Substack·
Large Language Model as Token Compressor and Decompressor  📝Text Compression
arxiv.org·6d·
Show HN: UBPE – a universal BPE tokenizer, optimized and rethought  📐Binary Grammars
github.com·5d·Hacker News·
Text Data Integration  📋Document Grammars
arxiv.org·2d·
adamtheturtle/literalizer: Convert data structures to native language literal syntax  🌳Incremental Parsing
github.com·6d·Hacker News·
SCOPE: Tree-based Self-Correcting Online Log Parsing via Syntactic-Semantic Collaboration  📝Log Parsing
arxiv.org·2d·
\textit{Versteasch du mi?} Computational and Socio-Linguistic Perspectives on GenAI, LLMs, and Non-Standard Language  🌳Context free grammars
arxiv.org·2d·
On the Expressive Power of Contextual Relations in Transformers  🌳Context free grammars
arxiv.org·3d·
TailNLG: A Multilingual Benchmark Addressing Verbalization of Long-Tail Entities  ⚙️Compression Benchmarking
arxiv.org·2d·
MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios  ⚙️Compression Benchmarking
arxiv.org·2d·
Self-Improvement of Large Language Models: A Technical Overview and Future Outlook  🤖Automated Parsing
arxiv.org·6d·
Compressing Transformer Language Models via Matrix Product Operator Decomposition: A Case Study on PicoGPT  🧠Learned Compression
arxiv.org·2d·
LongCat-Next: Lexicalizing Modalities as Discrete Tokens  💾Binary Linguistics
arxiv.org·2d·
Stringological sequence prediction I: efficient algorithms for predicting highly repetitive sequences  🔍RegEx Engines
arxiv.org·2d·

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