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Natural Language Processing
Text, speech, translation, and retrieval with modern NLP techniques.
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Latest in Natural Language Processing
Machines That Read: How Computers Learn to Understand the Words We Write | by Egocentric Writer | Oct, 2026
1+ hour, 47+ min ago (1610+ words) Machines That Read: How Computers Learn to Understand the Words We Write Every day, we ask computers questions, send messages, search for information, and share our thoughts online. But have you ever wondered what happens when a machine reads your…...
Machine Learning Engineer (2-5 yrs)
3+ day, 9+ hour ago (478+ words) Advanced Space | Machine Learning Engineer (2–5 Years) | Full-time | Hybrid We’re going to the Moon. Think you’ve got what it takes? At Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and…...
A Controlled Reanalysis of KIDO: Text Variants, Image-Model Configurations, and Cross-Modal Score Discrepancy
23+ hour, 23+ min ago (503+ words) KIDO pairs children’s prompted happy and sad drawings with written reflections, creating a multimodal setting in which the text and image channels provide very different evidence for the same labels. We reanalyze KIDO by comparing Turkish, original English, and LLM-generated…...
How RayMach Technologies Is Using AI To Address Aviation’s Operational Challenges
8+ hour, 58+ min ago (1137+ words) 1. What was the founding vision behind RayMach Technologies, and how has it evolved since 2016? Ans: We founded RayMach in 2016 with a simple objective: to use technology to make aviation operations simpler, more efficient and more intelligent. At the time, we…...
dspy.retrievers.Embeddings
7+ hour, 14+ min ago (26+ words) Embeddings DSPy dspy.Embeddings(corpus: list[str], embedder, k: int = 5, callbacks: list[Any] | None = None, cache: bool = False, brute_force_threshold: int = 20000, normalize: bool = True)...
Understanding N-Gram Language Models: Unigram, Bigram, Trigram, and Beyond
8+ hour, 1+ min ago (1433+ words) Language is one of the most natural ways humans communicate, but teaching a computer to work with language is a challenging task. How can a computer predict the next word in a sentence? How does it know that “I drink…...
Yale University researchers made an AI understand sentences differently without changing a single word. How did they do it?
12+ hour, 57+ min ago (356+ words) Researchers at Yale University have found that neural networks form structures that help them distinguish between the roles of words and the connections between them. The scientists have even managed to get AI to interpret the same sentence differently without…...
Testing LLM Bias Across Embeddings, Prompts, and Generated Text
13+ hour, 47+ min ago (746+ words) Ask a language model to write a short story about a nurse and a CEO, and watch which pronouns it picks. Odds are, you can predict them. That tiny habit is bias in action, and it scales to every résumé…...
Less can be more for predicting properties with large language models
23+ hour, 23+ min ago (1599+ words) Nature Computational Science (2026) Cite this article A preprint version of the article is available at arXiv. Machine learning models in scientific applications encounter data that contain both coordinate information (vectors) and category information (discrete categorical labels or types), illustrated in…...
Language Models Go Geometrically Blind When Predicting Material Properties
11+ hour, 29+ min ago (697+ words) A systematic study finds that large language models consistently fail to learn spatial coordinate information in materials property prediction, with scaling up models or data offering no meaningful fix and graph neural networks remaining far superior for structure-dominated tasks....