The feature, which Grammarly shut down Wednesday, presented editing suggestions as if they came from established authors and academics—without their consent....
Introduction In February 2026, a developer named buschleague posted on Hacker News thread 47039354 that an AI agent “identified the module that was blocking co...
!https://www.androidauthority.com/wp-content/uploads/2025/08/chatgpt-go-2-scaled.jpg TL;DR - A new report claims that eight out of ten major AI chatbots were wi...
We propose a fully automated AI system that produces short comedic videos similar to sketch shows such as Saturday Night Live. Starting with character reference...
We propose a 3D latent representation that jointly models object geometry and view-dependent appearance. Most prior works focus on either reconstructing 3D geom...
In this paper, we propose Agentar-Fin-OCR, a document parsing system tailored to financial-domain documents, transforming ultra-long financial PDFs into semanti...
We propose Neural Field Thermal Tomography (NeFTY), a differentiable physics framework for the quantitative 3D reconstruction of material properties from transi...
Generating music that temporally aligns with video events is challenging for existing text-to-music models, which lack fine-grained temporal control. We introdu...
We propose DynVLA, a driving VLA model that introduces a new CoT paradigm termed Dynamics CoT. DynVLA forecasts compact world dynamics before action generation,...
We present IsalGraph, a method for representing the structure of any finite, simple graph as a compact string over a nine-character instruction alphabet. The en...
The paradigm of LLM-as-a-judge relies on a critical assumption, namely that high inter-evaluator agreement indicates reliable and objective evaluation. We prese...
VLMs have become increasingly proficient at a range of computer vision tasks, such as visual question answering and object detection. This includes increasingly...
Scalar quantization of large language models (LLMs) is fundamentally limited by information-theoretic bounds. While vector quantization (VQ) overcomes these lim...
Pseudo-relevance feedback (PRF) methods built on large language models (LLMs) can be organized along two key design dimensions: the feedback source, which is wh...
Human uplift studies - or studies that measure AI effects on human performance relative to a status quo, typically using randomized controlled trial (RCT) metho...
Single-cell electrophysiological recordings provide a powerful window into neuronal functional diversity and offer an interpretable route for linking intrinsic ...
A data-driven, model-free approach to modeling the temporal evolution of physical systems mitigates the need for explicit knowledge of the governing equations. ...
The rapid evolution and inherent complexity of modern software requirements demand highly flexible and responsive development methodologies. While Agile framewo...
Accelerating the explorations of stationary points on potential energy surfaces building local surrogates spans decades of effort. Done correctly, surrogates re...
Deep learning models are being used for the analysis of parametric statistical models based on simulation-only frameworks. Bayesian models using normalizing flo...
Recent advances in text-to-image (T2I) generation have greatly improved visual quality, yet producing images that appear visually authentic to real-world photog...
Neural networks are a commonly used approach to replace physical models with computationally cheap surrogates. Parametric uncertainty quantification can be incl...
We show that MLP layers in transformer language models perform binary routing of continuous signals: the decision of whether a token needs nonlinear processing ...
Low Earth Orbit (LEO) Non-Terrestrial Networks (NTNs) require efficient beam management under dynamic propagation conditions. This work investigates Federated L...
Vision Language Models (VLMs) exhibit persistent hallucinations in counting tasks, with accuracy substantially lower than other visual reasoning tasks (excludin...
Deep Reinforcement learning (DRL) has achieved remarkable success in domains with well-defined reward structures, such as Atari games and locomotion. In contras...
With their increasing capabilities, Large Language Models (LLMs) are now used across many industries. They have become useful tools for software engineers and s...
Foundation models (FMs) show great promise for robust downstream performance across medical imaging tasks and modalities, including cardiac magnetic resonance (...
!Claude Mac apphttps://9to5mac.com/wp-content/uploads/sites/6/2024/10/claude-mac-app.jpg?quality=82&strip=all&w=1600 Claude may have climbed up 40+ spots in the...
!Claude Mac apphttps://9to5mac.com/wp-content/uploads/sites/6/2024/10/claude-mac-app.jpg?quality=82&strip=all&w=1600 Update Anthropic now reports both issues as...
Nvidia’s Planned Open Source AI Agent Platform Chipmaker Nvidia is preparing to launch its own open‑source AI agent platform to compete with the likes of OpenC...
Introduction Hey HN! We're Neel and Anay, and we’re building Sentrary https://sentrial.com – production monitoring for AI products. We automatically detect fai...
Young adults growing up in the attention economy — preparing for adult life while social media and chat‑bots compete for their focus — can easily fall into unhe...
NVIDIA Nemotron 3 Super Launched today, NVIDIA Nemotron 3 Super is a 120‑billion‑parameter open model with 12 billion active parameters. It is built to run com...
Agentic AI: Designing the Human Side of the Equation Agentic AI is taking off, and for good reason. AI agents can now write code, conduct research, plan travel...
LLM-based text embedders typically encode the semantic content of their input. However, embedding tasks require mapping diverse inputs to similar outputs. Typic...
GLM-OCR is an efficient 0.9B-parameter compact multimodal model designed for real-world document understanding. It combines a 0.4B-parameter CogViT visual encod...
markdown ← Back to Articleshttps://huggingface.co/blog !https://huggingface.co/avatars/461a871387bbc0b3e117fd17dfce5430.svghttps://huggingface.co/jojennin !http...
This work addresses two fundamental limitations in neural network approximation theory. We demonstrate that a three-dimensional network architecture enables a s...
!https://www.androidauthority.com/wp-content/uploads/2023/12/claude-homepage.jpg TL;DR - Claude is currently experiencing a partial outage that results in slowe...
Everyone is suddenly talking about files. LlamaIndex published “Files Are All You Need.” LangChain wrote about agents using filesystems for context engineering....
Updates - Posted Mar 11, 2026 - 15:44 UTC – We're currently investigating issues with Claude Code and Claude.ai. Some users may be unable to log in, and others...
Knowledge distillation (KD) methods are pivotal in compressing large pre-trained language models into smaller models, ensuring computational efficiency without ...
Subject indexing is vital for discovery but hard to sustain at scale and across languages. We release a large bilingual (English/German) corpus of catalog recor...
SiDiaC-v.2.0 is the largest comprehensive Sinhala Diachronic Corpus to date, covering a period from 1800 CE to 1955 CE in terms of publication dates, and a hist...
Canva introduces Magic Layers Canva has launched a new feature that transforms flat image files and AI‑generated visuals into layered, fully editable designs....
Build-a-Claw at GTC Park 🔗https://blogs.nvidia.com/blog/gtc-2026-news/build-a-claw GTC attendees can be among the first to get their hands on a fresh “claw” —...
The emergence of large language model (LLM)-based agent frameworks has shifted the primary challenge in building domain-expert AI agents from raw capability to ...
