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Natural Language Processing
Text, speech, translation, and retrieval with modern NLP techniques.
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Deployment-oriented evaluation of large language models for Arabic emotion classification | Scientific Reports
17+ hour, 23+ min ago (250+ words) Scientific Reports (2026) Cite this article We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the…...
Higher Quality Small Synthetic Natural Language Text Generation for Interpretability Research — LessWrong
1+ day, 21+ min ago (102+ words) Introduction Small simple synthetic natural language datasets suitable for end-to-end training of tiny LLMs serve as an important resource for LLM in…...
Attention Weights Turned Into Powerful New Explanations for AI Transformers
22+ hour, 10+ min ago (75+ words) Transformer models now sit at the heart of the most consequential artificial intelligence systems in the world, translating languages, classifying medical images, and powering the chatbots that millions of people consult daily. Yet for all their capability, these networks remain…...
New Open-Source Toolkit Puts Reproducibility First in Embedding
23+ hour, 10+ min ago (55+ words) When a product-search engine matches a photograph of a shoe against millions of catalogue images, or a hospital system identifies a medication from a single snapshot, the software is not running a classifier. It is comparing vectors, embeddings, in a…...
AI Model Combines Transformers and Language Embeddings to Predict
1+ day, 1+ hour ago (620+ words) MicroRNAs, the short strands of RNA that fine-tune gene expression after transcription, have become some of the most intensively studied molecules in modern molecular biology....
Adaptive Fusion Network Tackles Noisy Text Classification With
1+ day, 8+ hour ago (55+ words) Text classification has quietly become one of the most consequential technologies of the digital age. Every time a spam filter intercepts a fraudulent email, a content moderation system flags harmful commentary, or a sentiment analyzer scores millions of product reviews,…...
New Context-Aware Method Helps Machines Understand What Words Really Mean
1+ day, 8+ hour ago (580+ words) One of the most stubborn problems in natural language processing has just received a fresh attack....
What Actually Breaks When You Put a Language Model in a Customer-Facing Flow
1+ day, 13+ hour ago (1300+ words) Search for what goes wrong with a language model in production and you get a remarkably consistent answer: hallucination, drift, latency, cost, observability gaps. The list is correct. It is also written almost entirely by companies selling observability platforms, which…...
An embedding is a lookup table, and everything else is how you fill it
1+ day, 14+ hour ago (861+ words) Originally published at cchinchilla.dev. Part 2 of From code to weights, a 12-part series on ML fundamentals for engineers. Part 1 ended on an index. The tokenizer turns text into ids, an id is a row number, and the row lives…...
Applied Sciences, Vol. 16, Pages 9418: Stability-Aware Auditing of Latent Regions in Sentence Embedding Spaces: Guarding Against Granularity Collapse in Unsupervised Text Analytics
1+ day, 14+ hour ago (388+ words) Sentence-embedding clustering is often interpreted from a single partition, although a reproducible solution can still be excessively coarse, cardinality-variable, or representation-dependent. We present a stability-aware audit framework that separates label-free operating-point selection from post hoc taxonomy evaluation and explicitly distinguishes…...