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2,592 papers
Ingredient overlap between 26 world cuisines, measured over 1,956 well-known dishes described in 7 languages. Provenance — read this first: the dishes are real, well-known dishes, but their ingredient lists were written by a large language model and verified by a second model pass, not transcribed from cookbooks. This...
Underground coal-mine equipment operates under broadband noise, high dust, humidity, and methane. Acoustic sensing is uniquely suited to this environment: it captures vibration, friction, and airflow signatures without physical contact, incurs low sensor-deployment cost, responds at millisecond speed, and remains effec...
AntEngage Empathy Conversation Dataset (Version 1.0.0) is an open-access dataset containing 4,008 AI-synthesized multi-turn empathy-focused conversations designed for research and development in natural language processing, conversational AI, and affective computing. The dataset was created by AntEngage Technology Priv...
No single model outperformed the others in all the test areas, so many different LLMs were chosen to provide support for breast cancer health information.
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Early architectural decisions shape building energy demand and life cycle carbon, yet digital support remains fragmented across modelling, simulation and performance workflows. This systematic review examines how digital twin (DT) frameworks, tools and workflows are applied at the architectural design stage to support...
This document is a white paper that decodes the source code of our universe. Anyone can intuitively understand the validity of this theory by feeding this text into a Large Language Model (LLM) such as Gemini to discuss and debug it. For humanity's next OS update, I hereby release this 'Specification of the Universe' a...
It is suggested that while LLMs may offer support in structuring and initiating power analysis, they cannot substitute for expert judgment and underscores the importance of critically evaluating LLM performance in statistically demanding tasks.
Two adjacent but methodologically separate substrates currently coexist inside Anthropic's published record. The first is a body of mechanistic-interpretability work, most prominently On the Biology of a Large Language Model, that produces attribution graphs over sparse activation features and explicitly cautions that...
Large language model outputs fail in ways that the standard evaluation categories, factual error, refusal, hallucination, sycophancy, do not adequately capture. A separate class of failure appears at the level of output form: text that remains fluent, structured, and superficially credible while abandoning the inferent...
This report explores the iterative blind use of LLMs as bug-fixers, and unveils the existence of a steering vector which controls the editing propensity, suggesting that LLMs have an internal representation of ``buggy code", and that this representation is what is falsely activated to induce pseudo-bug fixing.
Large Language Models (LLMs) have achieved remarkable progress across natural language processing (NLP) tasks, yet their capabilities degrade sharply for low-resource languages and dialectally diverse settings. Bangla, the world's sixth most spoken language, exemplifies this gap: existing resources overwhelmingly targe...
A Blog post by IBM Granite on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.
A Blog post by Liquid AI on Hugging Face
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
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