Large Language Models

arXiv:2506.14391v3 Announce Type: replace-cross Abstract: Adaptive traffic signal control (ATSC) is essential for mitigating urban congestion in modern smart ci

arXiv:2506.15047v2 Announce Type: replace-cross Abstract: Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face signific

arXiv:2509.19080v2 Announce Type: replace-cross Abstract: Robotic manipulation policies are commonly initialized through imitation learning, but their performan

arXiv:2509.20057v4 Announce Type: replace-cross Abstract: KT developed a Responsible AI (RAI) assessment methodology and risk mitigation technologies to ensure

arXiv:2509.24773v4 Announce Type: replace-cross Abstract: Video-conditioned audio generation, including Video-to-Sound (V2S) and Visual Text-to-Speech (VisualTT

arXiv:2510.05710v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly being used to extract structured knowledge from unstruct

arXiv:2510.19496v2 Announce Type: replace-cross Abstract: Large vision-language models (VLMs) commonly process images at native or high resolution to remain eff

arXiv:2511.06571v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have achieved remarkable progress across diverse tasks, yet their interna

arXiv:2511.16665v3 Announce Type: replace-cross Abstract: The emergence of Large Language Models (LLMs) with strong reasoning capabilities marks a significant m

arXiv:2511.21448v5 Announce Type: replace-cross Abstract: In this paper, we introduce a metadata-enriched generation framework (PhishFuzzer) that seeds real ema

arXiv:2601.03018v2 Announce Type: replace-cross Abstract: While Large Language Models (LLMs) have shown strong performance on clinical text understanding, they

arXiv:2601.03273v2 Announce Type: replace-cross Abstract: As large language models (LLMs) become deeply embedded in daily life, the urgent need for safer modera

arXiv:2602.08934v2 Announce Type: replace-cross Abstract: AI-text detectors face a critical robustness challenge: adversarial paraphrasing attacks that preserve

arXiv:2602.10525v2 Announce Type: replace-cross Abstract: Long-horizon workflow agents that operate effectively over extended periods are essential for truly au

arXiv:2602.20945v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) consistently benefit from scaled Chain-of-Thought (CoT) reasoning, but al

arXiv:2602.21424v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) agents under partial observability often condition actions on internally a

arXiv:2603.00523v2 Announce Type: replace-cross Abstract: Every mechanistic circuit carries an invisible asterisk: it reflects not just the model's computation,

arXiv:2603.01038v2 Announce Type: replace-cross Abstract: Face recognition remains vulnerable to presentation attacks, calling for robust Face Anti-Spoofing (FA

arXiv:2603.12180v2 Announce Type: replace-cross Abstract: Multimodal agents offer a promising path to automating complex document-intensive workflows. Yet, a cr

arXiv:2603.12277v2 Announce Type: replace-cross Abstract: Language models remain vulnerable to prompt injection attacks despite extensive safety training. We tr

arXiv:2603.15727v2 Announce Type: replace-cross Abstract: Autonomous LLM-based agents increasingly operate as long-running processes forming densely interconnec

arXiv:2603.16513v2 Announce Type: replace-cross Abstract: Structured data is foundational to healthcare, finance, e-commerce, and scientific data management. La

arXiv:2603.18062v2 Announce Type: replace-cross Abstract: Skeleton-based action recognition is crucial for multimedia applications but heavily relies on power-h

arXiv:2603.18123v2 Announce Type: replace-cross Abstract: Foundation models promise to unify multiple clinical tasks within a single framework, but recent ultra

arXiv:2603.18196v2 Announce Type: replace-cross Abstract: Investigating cybersecurity incidents requires collecting and analyzing evidence from multiple log sou

arXiv:2603.18202v2 Announce Type: replace-cross Abstract: A central challenge in image-based Model-Based Reinforcement Learning (MBRL) is to learn representatio

arXiv:2603.18377v2 Announce Type: replace-cross Abstract: Cloud-hosted large language models (LLMs) have become the de facto planners in agentic systems, coordi

To address the novel safety challenges posed by a state-of-the-art video model as well as a new social creation platform, we’ve built Sora 2 and the Sora app wi

Nvidia announcements show the current shortage of storage and memory could continue into the future, driving up prices and the value of the companies that produ

The case for why self-improvement is real but it doesn't lead to fast takeoff.

Building on top of a Chinese model feels particularly fraught right now.

Alexa+ is now available in the U.K., with careful localization. Amazon’s Panos Panay explains why the generative AI upgrade is ready for British homes.

OpenAI co-founder Andrej Karpathy says December 2025 was the inflection point. The data — and the job market — are beginning to agree.

this article explains the reasons that Paul Baier stopped using OpenClaw. These are the rawness of the software and lack of security

Tesla Full Self-Driving and General Motors Super Cruise are seminal technologies. But vehicle AI is not flawless and drivers don’t always understand its limitat

A step-by-step guide to making your OpenAI apps faster, cheaper, and more efficient The post Prompt Caching with the OpenAI API: A Full Hands-On Python tutorial

Shortly after Amazon announced its $50 billion investment in OpenAI, AWS invited me on a private tour of the chip lab at the heart of the deal.

Beneath the highly visible yet often counterproductive AI consumption race lies a far more consequential one: the race for AI production.

It's critical is to identify and bring along the power users who will expand the capabilities of AI. But where are they?

In her QCon London keynote, Birgitta Böckeler, AI-Coding lead at Thoughtworks, reflected on the changes in the AI coding space over the past year. She emphasise

I have created four sets of taxonomies checklists to invoke AI personas for a synthetic therapist, client, therapist-supervisor, and therapy evaluator. An AI In

Hachette Book Group said it will not be publishing “Shy Girl” over concerns that artificial intelligence was used to generate the text.

Apple restricts vibe-coding apps; coding itself legal, but publishing insecure AI apps may trigger liability.

Despite investor fears of an AI bubble, Nvidia's latest conference shows that most in the industry aren't concerned by that possibility.

Recent developments in AI make this clear: an AI system with intelligence but without integrity is structurally unfit for civilization.

Article URL: https://www.economist.com/science-and-technology/2026/03/18/the-next-phase-of-artificial-intelligence-may-require-very-different-processors Comment

I recorded videos of myself doing laundry, scrambling eggs, and walking around the park in DoorDash’s new Tasks app, where gig workers are paid to train AI.

Agents are coming. Here are four ways to prepare for the AI-powered workplace revolution.