Search: “models”

arXiv:2310.20389v2 Announce Type: replace-cross Abstract: Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) is the only in vivo method to non-invasively examine the microstructure of the human hear

tutorialsarxiv-cs-cv

Model Releases

Hilbert-Geo: Solving Solid Geometric Problems by Neural-Symbolic Reasoning

DGX agent

arXiv:2605.16385v1 Announce Type: cross Abstract: Geometric problem solving, as a typical multimodal reasoning problem, has attracted much attention and made great progress recently, however most of w

model-releasesarxiv-cs-ai

19 May 2026

How AI Mode is changing the way people search in the U.S.

Google's AI Mode has surpassed a billion monthly active users globally one year after launch, with queries more than doubling every quarter . AI Mode bridges traditional search and conversational AI,

model-releasesgoogle-ai

How does feature learning reshape the function space?

arXiv:2605.17718v1 Announce Type: cross Abstract: Feature learning is widely regarded as the key mechanism distinguishing neural networks from fixed-kernel methods, yet its impact on the induced funct

HTSC-2025: A Benchmark Dataset of Ambient-Pressure High-Temperature Superconductors for AI-Driven Critical Temperature Prediction

arXiv:2506.03837v2 Announce Type: replace-cross Abstract: The discovery of high-temperature superconducting materials holds great significance for human industry and daily life. In recent years, resea

https://x.com/chrisfirst/status/2056797606509158681?s=20

https://x.com/chrisfirst/status/2056797606509158681?s=20 Google Omni Flash is able to edit videos accurately without distorting your video. > Make everyone in this shot flamingos. Wearing the same out

https://x.com/mrfanduuuuu/status/2056692235174097398?s=20

I cannot provide an accurate summary because the URL points to a tweet that doesn't exist (the status ID appears fabricated as it would be from a future date in 2056). Without access to the actual twe

https://x.com/raza8542121/status/2056807415421751372

https://x.com/raza8542121/status/2056807415421751372 First attempt with Gemini Omni Flash🚨 Prompt: A cinematic macro shot of a sleek, glass sculpture of a lion standing on a wooden table. The glass gr

https://x.com/ThisIsNickyS/status/2056809821773631582?s=20

I cannot provide a summary for this entry because the tweet IDs and timestamps appear to be fabricated or from future dates (2056), making them inaccessible. To create an accurate summary, please prov

https://x.com/venturetwins/status/2056793856843366789?s=20

https://x.com/venturetwins/status/2056793856843366789?s=20 @GoogleDeepMind 3) Video editing You can upload real videos to Omni and ask for edits - changing the action, style, or subject. Or you can an

Human-Certified Module Repositories for the AI Age

arXiv:2603.02512v4 Announce Type: replace-cross Abstract: Human-Certified Module Repositories (HCMRs) are introduced in this work as a new architectural model for constructing trustworthy software in

researcharxiv-cs-ai

Applications

HYVINT: Intensity-Driven Hypergraph Generation with Variational Representations

arXiv:2605.16836v1 Announce Type: cross Abstract: Hypergraphs provide a principled framework for modeling polyadic interactions, with applications in recommendation systems, social networks, and molec

applicationsarxiv-cs-lg

I had early Gemini Omni access: 'sea otter in a pilot's uniform explains why Spirit Airlines went bankrupt to a river otter who is distracte…

model-releasesethan-mollick--x

I had early Gemini Omni access: 'sea otter in a pilot's uniform explains why Spirit Airlines went bankrupt to a river otter who is distracted by their laptop while they are in a hot air balloon over N

Identify Then Project: Contrastive Learning of Latent Dynamics from Partial Observations with Port-Hamiltonian Structure

arXiv:2605.16682v1 Announce Type: new Abstract: Identifying latent state representations and dynamics is essential when direct modeling in observation space is infeasible, particularly under partial a

researcharxiv-cs-lg

'I'm Not Mad, Just Focused'': Understanding Human Emotions in Human-Robot Collaboration

arXiv:2605.16816v1 Announce Type: new Abstract: Human-robot collaboration (HRC) can benefit from robots' abilities to interpret human emotional states. However, current emotion recognition (ER) models

safetyarxiv-cs-ro

Improving BM25 Code Retrieval Under Fixed Generic Tokenization: Adaptive q-Log Odds as a Drop-In BM25 Fix

arXiv:2605.18561v1 Announce Type: cross Abstract: In retrieval-augmented coding, failures often begin when the relevant file is absent from the retrieved context. Under frozen generic tokenization, wh

InfoFlow: A Framework for Multi-Layer Transformer Analysis

arXiv:2605.17930v1 Announce Type: new Abstract: While the approximation properties of single-layer Transformer architectures have been studied in recent works, a rigorous theoretical understanding of

Introducing Claude Managed Agents with Modal Sandboxes

This article announces a collaboration between Anthropic's Claude and Modal that enables Claude to operate as managed agents within Modal's sandboxed environments. The integration allows Claude to saf

model-releasesmodal-blog

Introducing OpenAI Guaranteed Capacity: a new offering that enables customers to guarantee long-term access to OpenAI compute. We’ve made lo…

Introducing OpenAI Guaranteed Capacity: a new offering that enables customers to guarantee long-term access to OpenAI compute. We’ve made long-term investments in infrastructure, partnerships, and cap

model-releasesopenai--x

Tools

Introducing the Ettin Reranker Family

The Ettin Reranker Family represents a new suite of reranking models released on Hugging Face designed to improve retrieval-augmented generation (RAG) systems by reordering search results based on rel

toolshugging-face

Tutorials

InvDesFlow-AL: active learning-based workflow for inverse design of functional materials

arXiv:2505.09203v2 Announce Type: replace-cross Abstract: Developing inverse design methods for functional materials with specific properties is critical to advancing fields like renewable energy, cat

tutorialsarxiv-cs-ai

Is VLA Reasoning Faithful? Probing Safety of Chain-of-Causation

arXiv:2605.17268v1 Announce Type: new Abstract: We present the first systematic study of faithfulness in Vision-Language-Action (VLA) driving models, analyzing 300 Alpamayo-R1-10B inferences across 10

It’s time for #GoogleIO! Join us virtually. 10:00AM - Consumer Keynote 1:30PM - Developer Keynote (Times in PT) https://x.com/i/events/20532…

Google I/O is a virtual event featuring two keynote presentations: a Consumer Keynote at 10:00 AM PT and a Developer Keynote at 1:30 PM PT. The event showcases Google's latest products, innovations, a

JDCNet: Confidence-Gated Privileged-Modality Distillation for Cost-Preserving X-ray Inference

model-releasesarxiv-cs-cv

arXiv:2603.29167v2 Announce Type: replace Abstract: We study a systems-level visual inference problem: using an expensive privileged modality during training while preserving a fixed-cost, single-moda

Kelvin v1.0: A Neural Pre-Encoder for H.264: A standards-compliant learned preprocessor with -27.62% BD-VMAF on UVG

model-releasesarxiv-cs-cv

arXiv:2605.16376v1 Announce Type: cross Abstract: Kelvin is a lightweight learned pre-encoder that sits in front of an unmodified libx264 encoder. It applies content-adaptive pixel adjustments, bounde

Applications

Key-Gram: Extensible World Knowledge for Embodied Manipulation

arXiv:2605.18556v1 Announce Type: cross Abstract: Embodied control increasingly requires models to follow compositional language instructions while reasoning over dynamic visual states. However, curre

applicationsarxiv-cs-ai

KPMG partners with Anthropic to embed Claude into its tax and advisory platforms; KPMG's tax and legal services unit saw revenue grow ~8% YoY to $9.3B in 2025 (Mark Maurer/Wall Street Journal)

Mark Maurer / Wall Street Journal: KPMG partners with Anthropic to embed Claude into its tax and advisory platforms; KPMG's tax and legal services unit saw revenue grow ~8% YoY to $9.3B in 2025 — The

model-releasestechmeme

Local Ai

LaDi-RL: Latent Diffusion Reasoning Prevents Entropy Collapse in Reinforcement Learning

arXiv:2602.01705v3 Announce Type: replace-cross Abstract: Reinforcement learning has become a central paradigm for improving LLM reasoning, but most existing methods optimize policies over discrete to

local-aiarxiv-cs-ai

Latent Action Control for Reasoning-Guided Unified Image Generation

arXiv:2605.16961v1 Announce Type: cross Abstract: Unified multimodal models can encode visual understanding and image generation within a shared backbone, yet understanding does not automatically tran

Latent Heuristic Search: Continuous Optimization for Automated Algorithm Design

arXiv:2605.17137v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) into evolutionary frameworks has established a new paradigm for automated heuristic discovery. Despite t

researcharxiv-cs-ai

Lean Meets Theoretical Computer Science: Scalable Synthesis of Theorem Proving Challenges in Formal-Informal Pairs

arXiv:2508.15878v2 Announce Type: replace-cross Abstract: Formal theorem proving (FTP) has emerged as a critical foundation for evaluating the reasoning capabilities of large language models, enabling

researcharxiv-cs-ai

Learned Memory Attenuation in Sage-Husa Kalman Filters for Robust UAV State Estimation

arXiv:2605.18704v1 Announce Type: cross Abstract: Unmanned Aerial Vehicles in dynamic environments face telemetry outages, structural vibrations, and regime-dependent noise that invalidate the station

Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning

arXiv:2605.17058v1 Announce Type: new Abstract: The combination of exponentially large action spaces, stochastic dynamics, and long-horizon decision-making under limited resources makes Sequential Sto

safetyarxiv-cs-lg

Learning Native Continuation for Action Chunking Flow Policies

arXiv:2602.12978v2 Announce Type: replace-cross Abstract: Action chunking enables Vision Language Action (VLA) models to run in real time, but naive chunked execution often exhibits discontinuities at

LiTS: A Modular Framework for LLM Tree Search

arXiv:2603.00631v2 Announce Type: replace Abstract: LiTS is a modular Python framework for LLM reasoning via tree search. It decomposes tree search into three reusable components (Policy, Transition,

Live from Code with Claude London: we're launching self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed …

model-releasesboris-cherny--x

Live from Code with Claude London: we're launching self-hosted sandboxes (public beta) and MCP tunnels (research preview) in Claude Managed Agents. Run agents inside your own perimeter, with your secu

LivePI: More Realistic Benchmarking of Agents Against Indirect Prompt Injectio

arXiv:2605.17986v1 Announce Type: cross Abstract: AI agents such as OpenClaw are increasingly deployed in local workflows with access to external tools. This creates indirect prompt-injection (IPI) ri

Applications

LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion

arXiv:2503.02161v3 Announce Type: replace Abstract: Synthetic tabular data are increasingly being used to replace real data, serving as an effective solution that simultaneously protects privacy and a

applicationsarxiv-cs-lg

Local Ai

LLMs for automatic annotation of Mandarin narrative transcripts

arXiv:2605.17205v1 Announce Type: new Abstract: Linguistic annotation of transcribed speech is essential for research in language acquisition, language disorders, and sociolinguistics, yet remains lab

local-aiarxiv-cs-cl

LongMINT: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems

arXiv:2605.18565v1 Announce Type: cross Abstract: Real-world agents operate over long and evolving horizons, where information is repeatedly updated and may interfere across memories, requiring accura

M^2FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

arXiv:2605.16375v1 Announce Type: new Abstract: Accurate air quality prediction is essential for public health, environmental monitoring, and industrial safety. However, most existing approaches rely

Machine Learnability as a Measure of Order in Aperiodic Sequences

arXiv:2509.18103v3 Announce Type: replace Abstract: Research on the distribution of prime numbers has revealed a dual character: deterministic in definition yet exhibiting statistical behavior reminis

researcharxiv-cs-lg

Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers

arXiv:2605.16365v1 Announce Type: new Abstract: Early identification of individuals at elevated risk of Chlamydia trachomatis infection may enable optimal use of molecular testing in resource-aware sc

researcharxiv-cs-lg

MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization

arXiv:2605.17997v1 Announce Type: cross Abstract: Recently, residual reconstruction-based model quantization methods have achieved promising performance in low-bit post-training quantization (PTQ) by

MAVEN A Multi-Agent Framework for Multicultural Text-to-Video Generation

arXiv:2605.16716v1 Announce Type: cross Abstract: Text-to-video (T2V) generation has rapidly progressed in visual fidelity, yet its ability to faithfully represent multiple cultures within a single pr

MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

arXiv:2601.21468v5 Announce Type: replace Abstract: Long-horizon agentic reasoning necessitates effectively compressing growing interaction histories into a limited context window. Most existing memor

Mistral acquires Vienna-based Emmi AI for an undisclosed sum to boost its industrial offerings in Europe; Emmi raised €15M in Austria's largest round in 2025 (Reuters)

Reuters: Mistral acquires Vienna-based Emmi AI for an undisclosed sum to boost its industrial offerings in Europe; Emmi raised €15M in Austria's largest round in 2025 — Europe's leading artificial int

model-releasestechmeme

MLReplicate: Benchmarking Autonomous Research Systems for Machine Learning Reproducibility

arXiv:2605.16616v1 Announce Type: new Abstract: Autonomous research systems capable of generating complete scientific manuscripts have advanced rapidly, yet robust and realistic evaluation frameworks