Search: “models”

Auditing LLMs for Algorithmic Fairness in Casenote-Augmented Tabular Prediction

arXiv:2604.19204v1 Announce Type: cross Abstract: LLMs are increasingly being considered for prediction tasks in high-stakes social service settings, but their algorithmic fairness properties in this

safetyarxiv-cs-lg

Model Releases

been using claude design and loving it it's basically claude code under the hood but with a very opinionated ontology for input and output -…

DGX agent

been using claude design and loving it it's basically claude code under the hood but with a very opinionated ontology for input and output - the input ontology is logo, colors, fonts, etc. - the outpu

model-releasesyohei-nakajima--x

22 Apr 2026

Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings

arXiv:2511.21893v2 Announce Type: replace Abstract: Multi-modal foundation models align images, text, and other modalities in a shared embedding space but remain vulnerable to adversarial illusions [3

safetyarxiv-cs-lg

Claude Code won a Webby! Thanks to all of our users and customers for the support and love, and for always giving us feedback so that we can…

model-releasesboris-cherny--x

Claude Code won a Webby! Thanks to all of our users and customers for the support and love, and for always giving us feedback so that we can continue making the product a little better every day. http

Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features

arXiv:2604.18920v1 Announce Type: cross Abstract: We test whether Speech Articulatory Coding (SPARC) features can linearly predict surface electromyography (sEMG) envelopes across aloud, mimed, and su

researcharxiv-cs-cl

Tutorials

ContextLeak: Auditing Leakage in Private In-Context Learning Methods

arXiv:2512.16059v2 Announce Type: replace-cross Abstract: In-Context Learning (ICL) has become a standard technique for adapting Large Language Models (LLMs) to specialized tasks by supplying task-spe

tutorialsarxiv-cs-cl

Agents

Converging operational and analytical data for AI transformation

To act at the speed of business, AI agents must operate in fast and trusted reasoning loops. They need to “think” by reasoning across both your historical context and your live operational reality. On

agentsgoogle-cloud-ai

Core Automation, co-founded by ex-OpenAI VP Jerry Tworek, launches to build 'the world's most automated AI lab' with talent from OpenAI, Anthropic, and DeepMind (Business Insider)

Business Insider: Core Automation, co-founded by ex-OpenAI VP Jerry Tworek, launches to build “the world's most automated AI lab” with talent from OpenAI, Anthropic, and DeepMind — - A new AI startup,

model-releasestechmeme

Coyote vs. Acme is finally getting released—with a killer trailer

model-releasesars-technica

The trailer for 'Coyote vs. Acme' has been released, offering a first look at the long-delayed live-action/animation hybrid ahead of its theatrical debut Aug. 28. The film follows Wile E. Coyote as he

Detection of T-shirt Presentation Attacks in Face Recognition Systems

arXiv:2604.19365v1 Announce Type: new Abstract: Face recognition systems are often used for biometric authentication. Nevertheless, it is known that without any protective measures, face recognition s

Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning

arXiv:2604.18639v1 Announce Type: cross Abstract: Previous LLMs-based RL studies typically follow either supervised learning with high annotation costs, or unsupervised paradigms using voting or entro

researcharxiv-cs-ai

EfficientPENet: Real-Time Depth Completion from Sparse LiDAR via Lightweight Multi-Modal Fusion

arXiv:2604.18790v1 Announce Type: new Abstract: Depth completion from sparse LiDAR measurements and corresponding RGB images is a prerequisite for accurate 3D perception in robotic systems. Existing m

Emotion-Cause Pair Extraction in Conversations via Semantic Decoupling and Graph Alignment

model-releasesarxiv-cs-cl

arXiv:2604.19547v1 Announce Type: new Abstract: Emotion-Cause Pair Extraction in Conversations (ECPEC) aims to identify the set of causal relations between emotion utterances and their triggering caus

Enhancing Construction Worker Safety in Extreme Heat: A Machine Learning Approach Utilizing Wearable Technology for Predictive Health Analytics

arXiv:2604.19559v1 Announce Type: new Abstract: Construction workers are highly vulnerable to heat stress, yet tools that translate real-time physiological data into actionable safety intelligence rem

safetyarxiv-cs-ai

Error-free Training for MedMNIST Datasets

arXiv:2604.18916v1 Announce Type: new Abstract: In this paper, we introduce a new concept called Artificial Special Intelligence by which Machine Learning models for the classification problem can be

researcharxiv-cs-ai

Exabeam extends Agent Behavior Analytics to Google Cloud’s agent ecosystem

model-releasessiliconangle

Security intelligence and management solutions company Exabeam Inc. today announced new Exabeam Agent Behavior Analytics capabilities for agents built with Google Cloud’s Agent Development Kit and an

For the 'small test' they've modified their docs to remove mention of Claude Code in Claude Pro: https://support.claude.com/en/articles/1114…

model-releasesjeremy-howard--x

For the 'small test' they've modified their docs to remove mention of Claude Code in Claude Pro: https://support.claude.com/en/articles/11145838-using-claude-code-with-your-max-plan It's been a shock

Applications

Formally Verified Patent Analysis via Dependent Type Theory: Machine-Checkable Certificates from a Hybrid AI + Lean 4 Pipeline

arXiv:2604.18882v1 Announce Type: new Abstract: We present a formally verified framework for patent analysis as a hybrid AI + Lean 4 pipeline. The DAG-coverage core (Algorithm 1b) is fully machine-ver

applicationsarxiv-cs-ai

Four-Axis Decision Alignment for Long-Horizon Enterprise AI Agents

model-releasesarxiv-cs-ai

arXiv:2604.19457v1 Announce Type: new Abstract: Long-horizon enterprise agents make high-stakes decisions (loan underwriting, claims adjudication, clinical review, prior authorization) under lossy mem

Framelet-Based Blind Image Restoration with Minimax Concave Regularization

arXiv:2604.19314v1 Announce Type: new Abstract: Recovering corrupted images is one of the most challenging problems in image processing. Among various restoration tasks, blind image deblurring has bee

safetyarxiv-cs-cv

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search

arXiv:2602.15423v3 Announce Type: replace-cross Abstract: As the burgeoning power requirements of sophisticated neural architectures escalate, the information retrieval community has recognized ecolog

researcharxiv-cs-lg

GAIN: Multiplicative Modulation for Domain Adaptation

arXiv:2604.04516v2 Announce Type: replace-cross Abstract: Adapting LLMs to new domains causes forgetting because standard methods (e.g., full fine-tuning, LoRA) inject new directions into the weight s

researcharxiv-cs-ai

Gated Memory Policy

model-releasesarxiv-cs-ai

arXiv:2604.18933v1 Announce Type: cross Abstract: Robotic manipulation tasks exhibit varying memory requirements, ranging from Markovian tasks that require no memory to non-Markovian tasks that depend

Google launches AI research agents powered by Gemini 3.1 Pro

model-releasessiliconangle

Google LLC has released two artificial intelligence agents that can generate research reports about user-specified topics. The agents made their debut on Tuesday. Deep Research and Deep Research Max a

Google Meet will take AI notes for in-person meetings too

model-releasesthe-verge-ai

Google's AI meeting notetaker is no longer limited to Google Meets - Gemini can also generate summaries and transcripts of in-person meetings now, as well as meetings on Zoom and Microsoft Teams, as f

Google puts Gemini Enterprise at the heart of the new agentic taskforce for enterprise automation

model-releasessiliconangle

Google Cloud is on a mission to accelerate the adoption of artificial intelligence agents across enterprise computing environments, paving the way for a new era where AI can automate many of the most

Google says 75% of new code created inside the company is now generated by AI and reviewed by human engineers, up from 50% last fall (Hugh Langley/Business Insider)

Hugh Langley / Business Insider: Google says 75% of new code created inside the company is now generated by AI and reviewed by human engineers, up from 50% last fall — - Three-quarters of new code at

model-releasestechmeme

GRAFT: Geometric Refinement and Fitting Transformer for Human Scene Reconstruction

arXiv:2604.19624v1 Announce Type: new Abstract: Reconstructing physically plausible 3D human-scene interactions (HSI) from a single image currently presents a trade-off: optimization based methods off

Industry

Happy Earth Day! Thank you to our owners, employees & advocates for helping us build a world of amazing abundance 🌎❤️

Tesla posted an Earth Day message thanking owners, employees, and advocates for their contributions to building a sustainable world of abundance. The post reflects Tesla's positioning around environme

industryelon-musk--x

HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition

arXiv:2604.19392v1 Announce Type: new Abstract: Satellite image composition plays a critical role in remote sensing applications such as data augmentation, disaste simulation, and urban planning. We p

Has anyone seen ANY official communication from Anthropic or an Anthropic staff member about the fact that the checkbox for Claude Code on P…

model-releasessimon-willison--x

Has anyone seen ANY official communication from Anthropic or an Anthropic staff member about the fact that the checkbox for Claude Code on Pro is back to being checked again, or is the only evidence t

Highly Efficient and Effective LLMs with Multi-Boolean Architectures

arXiv:2505.22811v5 Announce Type: replace-cross Abstract: Weight binarization has emerged as a promising strategy to reduce the complexity of large language models (LLMs). Existing approaches fall int

researcharxiv-cs-lg

Local Ai

HMR-Net: Hierarchical Modular Routing for Cross-Domain Object Detection in Aerial Images

arXiv:2604.18866v1 Announce Type: new Abstract: Despite advances in object detection, aerial imagery remains a challenging domain, as models often fail to generalize across variations in spatial resol

local-aiarxiv-cs-cv

How to add an evaluation harness to your Gemini CLI coding agent

Coding agents can update prompts, wire in tools, and change application logic across your codebase in a single run. The hard part isn’t getting the agent to make changes, but... The post How to add an

model-releasesarize-ai

Agents

https://x.com/jasonlk/status/2046742133890330981?s=20

https://x.com/jasonlk/status/2046742133890330981?s=20 If Cursor trains a genuinely SOTA coding model on xAI's infra, xAI exercises the 60B option and Grok instantly becomes a top-tier coding agent via

agentsswyx--x

I wonder if something happened to radicalize NoVa last year

model-releasesanthropic--x

I wonder if something happened to radicalize NoVa last year I can't believe Virginia dems got away with being so brazen. The 10-1 map looks absolutely insane and its wildly unfair and the public had f

Improving the Distributional Alignment of LLMs using Supervision

model-releasesarxiv-cs-cl

arXiv:2507.00439v4 Announce Type: replace Abstract: The ability to accurately align LLMs with diverse population groups on subjective questions would have great value. In this work, we show that addin

Intentional Updates for Streaming Reinforcement Learning

model-releasesarxiv-cs-ai

arXiv:2604.19033v1 Announce Type: cross Abstract: In gradient-based learning, a step size chosen in parameter units does not produce a predictable per-step change in function output. This often leads

Introducing workspace agents in ChatGPT

OpenAI introduced workspace agents in ChatGPT, a feature that enables AI assistants to perform tasks and take actions within connected workspace applications and tools. These agents can help automate

model-releasesopenai

Introducing workspace agents in ChatGPT—shared agents that can handle complex tasks and long-running workflows across tools and teams.

OpenAI introduced workspace agents in ChatGPT, a new feature that enables shared agents capable of managing complex tasks and extended workflows across multiple tools and team members. These agents ar

model-releasesopenai--x

just a friendly reminder that republicans have a trifecta and could pass a federal ban on gerrymandering tomorrow if they wanted to. but t…

model-releasesanthropic--x

just a friendly reminder that republicans have a trifecta and could pass a federal ban on gerrymandering *tomorrow* if they wanted to. but they don’t want to. they want to rig the system. and then the

Applications

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

arXiv:2604.19028v1 Announce Type: new Abstract: One of the most challenging problems in graph machine learning is generalizing across graphs with diverse properties. Graph neural networks (GNNs) face

applicationsarxiv-cs-lg

LiveVLN: Breaking the Stop-and-Go Loop in Vision-Language Navigation

model-releasesarxiv-cs-ro

arXiv:2604.19536v1 Announce Type: new Abstract: Recent navigation systems achieve strong benchmark results, yet real-world deployment often remains visibly stop-and-go. This bottleneck arises because

MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention

arXiv:2604.19675v1 Announce Type: new Abstract: Flow matching has recently emerged as a principled framework for learning continuous-time transport maps, enabling efficient deterministic generation wi

researcharxiv-cs-cv

Michele Catasta (@pirroh) at Google Cloud Next talking about what's new with Gemini, agentic applications, and what's next for builders. Fre…

Michele Catasta (@pirroh) at Google Cloud Next talking about what's new with Gemini, agentic applications, and what's next for builders. Fresh off Replit being named Google Cloud Partner of the Year.

model-releasesreplit--x

Tutorials

Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming

arXiv:2604.19670v1 Announce Type: cross Abstract: Effective human-robot teaming is crucial for the practical deployment of robots in human workspaces. However, optimizing joint human-robot plans remai

tutorialsarxiv-cs-ai

Multi-modal Reasoning with LLMs for Visual Semantic Arithmetic

arXiv:2604.19567v1 Announce Type: new Abstract: Reinforcement learning (RL) as post-training is crucial for enhancing the reasoning ability of large language models (LLMs) in coding and math. However,

safetyarxiv-cs-ai

Applications

Multi-view Crowd Tracking Transformer with View-Ground Interactions Under Large Real-World Scenes

arXiv:2604.19318v1 Announce Type: new Abstract: Multi-view crowd tracking estimates each person's tracking trajectories on the ground of the scene. Recent research works mainly rely on CNNs-based mult

applicationsarxiv-cs-cv