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arXiv:2604.25120v1 Announce Type: new Abstract: We study clinical trial table reasoning, where answers are not directly stored in visible cells but must be reasoned from semantic understanding through

agentsarxiv-cs-cl

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Model Releases

DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA

DGX agent

arXiv:2603.29844v2 Announce Type: replace-cross Abstract: The development of Vision-Language-Action (VLA) models has been significantly accelerated by pre-trained Vision-Language Models (VLMs). Howeve

model-releasesarxiv-cs-cv

29 Apr 2026

Dictionary learning for Kernel EDMD

arXiv:2604.25572v1 Announce Type: cross Abstract: Studying nonlinear dynamical systems through their state space behavior can be challenging, and one possible alternative is to analyze them via their

Hardware

Did a very different format with @reinerpope – a blackboard lecture where he walks through how frontier LLMs are trained and served. It's sh…

Did a very different format with @reinerpope – a blackboard lecture where he walks through how frontier LLMs are trained and served. It's shocking how much you can deduce about what the labs are doing

hardwareswyx--x

🤖👇 Did you know that you can use the @GoogleAIStudio Gemini Live API for robotics?! Check out @ThePracticalDev blog post from my colleague…

model-releasesclem-delangue--x

🤖👇 Did you know that you can use the @GoogleAIStudio Gemini Live API for robotics?! Check out @ThePracticalDev blog post from my colleague @thorwebdev to learn more: Finally added Gemini Live to @poll

DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference

arXiv:2510.19669v4 Announce Type: replace Abstract: Recent reasoning Large Language Models (LLMs) demonstrate remarkable problem-solving abilities but often generate long thinking traces whose utility

researcharxiv-cs-cl

Tutorials

Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity

arXiv:2603.20645v2 Announce Type: replace Abstract: Diffusion models have become a leading framework in generative modeling, yet their theoretical understanding -- especially for high-dimensional data

tutorialsarxiv-cs-lg

Digitizing Nepal's Written Heritage: A Comprehensive HTR Pipeline for Old Nepali Manuscripts

arXiv:2512.17111v2 Announce Type: replace Abstract: This paper presents the first end-to-end pipeline for Handwritten Text Recognition (HTR) for Old Nepali, a historically significant but low-resource

DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale

arXiv:2604.25209v1 Announce Type: new Abstract: Dimensionality reduction methods such as UMAP and t-SNE are central tools for visualising high-dimensional data, but their local-neighborhood objectives

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors

arXiv:2604.25050v1 Announce Type: new Abstract: Unlike chatbots, physical AI must act while the world keeps evolving. Therefore, the inter-chunk pause of synchronous executors are fatal for dynamic ta

safetyarxiv-cs-ro

Diverse Image Priors for Black-box Data-free Knowledge Distillation

arXiv:2604.25794v1 Announce Type: cross Abstract: Knowledge distillation (KD) represents a vital mechanism to transfer expertise from complex teacher networks to efficient student models. However, in

researcharxiv-cs-cv

Divine, a Vine reboot financed by Jack Dorsey-backed nonprofit 'and Other Stuff' and built by an early Twitter employee, debuts with ~500K restored Vine videos (Sarah Perez/TechCrunch)

Sarah Perez / TechCrunch: Divine, a Vine reboot financed by Jack Dorsey-backed nonprofit “and Other Stuff” and built by an early Twitter employee, debuts with ~500K restored Vine videos — A new projec

model-releasestechmeme

Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives

arXiv:2604.25423v1 Announce Type: new Abstract: Do large language models (LLMs) truly acquire embodied cognition and cultural conventions from text? We introduce demonstratives, fundamental spatial ex

researcharxiv-cs-cl

Doing More With Less: Revisiting the Effectiveness of LLM Pruning for Test-Time Scaling

arXiv:2604.25098v1 Announce Type: cross Abstract: While current Large Language Models (LLMs) exhibit remarkable reasoning capabilities through test-time compute scaling (TTS), their massive parameter

Dont Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination

arXiv:2604.24978v1 Announce Type: new Abstract: Enterprise deep research often fails to produce decision-ready reports due to uneven information coverage, context explosion, and premature stopping. We

Local Ai

DouC: Dual-Branch CLIP for Training-Free Open-Vocabulary Segmentation

arXiv:2604.24997v1 Announce Type: new Abstract: Open-vocabulary semantic segmentation requires assigning pixel-level semantic labels while supporting an open and unrestricted set of categories. Traini

local-aiarxiv-cs-cv

DRAGON: A Benchmark for Evidence-Grounded Visual Reasoning over Diagrams

arXiv:2604.25231v1 Announce Type: cross Abstract: Diagram question answering (DQA) requires models to interpret structured visual representations such as charts, maps, infographics, circuit schematics

Applications

Drivetrain simulation using variational autoencoders

arXiv:2501.17653v3 Announce Type: replace Abstract: This work proposes variational autoencoders (VAEs) to predict a vehicle's jerk signals from torque demand in the context of limited real-world drive

applicationsarxiv-cs-lg

Drone strikes on data centers spook Big Tech, halting Middle East projects

Drone strikes damaged three Amazon Web Services data centers in the Middle East during military conflict, with two facilities in the UAE directly struck and a facility in Bahrain damaged by proximity

industryars-technica

DSO: Direct Steering Optimization for Bias Mitigation

Generative models are often deployed to make decisions on behalf of users, such as vision-language models (VLMs) identifying which person in a room is a doctor to help visually impaired individuals. Y

safetyapple-ml-research

Local Ai

Dual-Track CoT: Budget-Aware Stepwise Guidance for Small LMs

arXiv:2604.25039v1 Announce Type: new Abstract: Large Language Models (LLMs) solve many reasoning tasks via chain-of-thought (CoT) prompting, but smaller models (about 7 to 8B parameters) still strugg

local-aiarxiv-cs-cl

DualGeo: A Dual-View Framework for Worldwide Image Geo-localization

arXiv:2604.25533v1 Announce Type: new Abstract: Worldwide image geo-localization aims to infer the geographic location of an image captured anywhere on Earth, spanning street, city, regional, national

researcharxiv-cs-cv

Agents

Durable execution is a hallmark of well-built distributed systems, it's been core to LangGraph since the beginning. In the agents-as-softwar…

Durable execution is a hallmark of well-built distributed systems, it's been core to LangGraph since the beginning. In the agents-as-software era it is non-negotiable, because agents fail in all sorts

agentsharrison-chase--x

DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios

arXiv:2604.25914v1 Announce Type: new Abstract: Real-world data visualization (DV) requires native environmental grounding, cross-platform evolution, and proactive intent alignment. Yet, existing benc

Dyna-Style Safety Augmented Reinforcement Learning: Staying Safe in the Face of Uncertainty

arXiv:2604.25508v1 Announce Type: new Abstract: Safety remains an open problem in reinforcement learning (RL), especially during training. While safety filters are promising to address safe exploratio

safetyarxiv-cs-lg

Local Ai

Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases

arXiv:2604.24972v1 Announce Type: new Abstract: Clinical abnormality grounding for rare diseases is often hindered by data scarcity, making supervised fine-tuning impractical and single-pass inference

local-aiarxiv-cs-cl

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation

arXiv:2604.25021v1 Announce Type: new Abstract: We study online regression with the square loss in a reproducing kernel Hilbert space under a dynamic regret criterion. The learner is compared with a t

Dynamic UGV-UAV Cooperative Path Planning in Uncertain Environments

arXiv:2604.25267v1 Announce Type: new Abstract: This paper addresses the Dynamic UGV-UAV Cooperative Path Planning (DUCPP) problem involving one unmanned ground vehicle (UGV) assisted by one or more u

researcharxiv-cs-ro

eBay reports Q1 revenue up 19% YoY to 3.09B, vs. 3.04B est., net income up 2% to 512M, GMV up 18% to 22.2B, and forecasts Q2 revenue above estimates (Kelly Cloonan/Wall Street Journal)

Kelly Cloonan / Wall Street Journal: eBay reports Q1 revenue up 19% YoY to 3.09B, vs. 3.04B est., net income up 2% to 512M, GMV up 18% to 22.2B, and forecasts Q2 revenue above estimates — The company

industrytechmeme

Edge-Cloud Collaborative Reconstruction via Structure-Aware Latent Diffusion for Downstream Remote Sensing Perception

arXiv:2604.25319v1 Announce Type: new Abstract: The exponential surge in high-resolution remote sensing data faces a severe bottleneck in satellite-to-ground transmission. Limited downlink bandwidth f

researcharxiv-cs-cv

Egocentric Tactile and Proximity Sensors as Observation Priors for Humanoid Collision Avoidance

arXiv:2604.25554v1 Announce Type: cross Abstract: Collision-free motion is often aided by tactile and proximity sensors distributed on the body of the robot due to their resistance to occlusion as opp

Elderly-Contextual Data Augmentation via Speech Synthesis for Elderly ASR

arXiv:2604.24770v1 Announce Type: new Abstract: Despite recent progress in automatic speech recognition (ASR), elderly ASR (EASR) remains challenging due to limited training data and the distinct acou

researcharxiv-cs-cl

Elite-Driven Support Vector Machines for Classification

arXiv:2604.25158v1 Announce Type: cross Abstract: Support vector machines (SVMs) are a standard tool for binary classification, but their classical formulations are purely data-driven and offer no dir

Elon Musk accuses OpenAI CEO Sam Altman of trying to ‘steal’ a charity

Billionaire technology entrepreneur Elon Musk took the stand today in a landmark trial that pits him against OpenAI Group PBC Chief Executive Sam Altman, with the outcome set to have a major impact on

industrysiliconangle

Elon Musk on AI during the OpenAI trial: 'It (AI) could make us more prosperous, but it could also kill us all. We want to be in a Gene Rodd…

Elon Musk on AI during the OpenAI trial: 'It (AI) could make us more prosperous, but it could also kill us all. We want to be in a Gene Roddenberry movie, like Star Trek, not so much a James Cameron m

industryelon-musk--x

Tutorials

Elon Musk’s worst enemy in court is Elon Musk

About five hours into Elon Musk's testimony, I typed the following sentence into my notes: 'I have never been more sympathetic to Sam Altman in my life.' Musk's direct testimony was an improvement ove

tutorialsthe-verge-ai

Elon’s lawsuit might have merit even his motivations are questionable, as I just explained on @cnni https://video.snapstream.net/Play/7vHDLC…

Gary Marcus discusses on CNN the legal merits of Elon Musk's lawsuit, arguing that despite questionable motivations behind the case, there may be legitimate legal grounds supporting it. The post refer

safetygary-marcus--x

Emergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics

arXiv:2604.25481v1 Announce Type: cross Abstract: We introduce a Hopfield-type associative memory in which effective connectivity is multiplicatively modulated by astrocytic gains evolving under an en

Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis

arXiv:2603.16877v2 Announce Type: replace Abstract: Financial analysts face significant challenges extracting information from lengthy 10-K reports, which often exceed 100 pages. This paper presents a

Enhancing SignSGD: Small-Batch Convergence Analysis and a Hybrid Switching Strategy

arXiv:2604.25550v1 Announce Type: new Abstract: SignSGD compresses each stochastic gradient coordinate to a single bit, offering substantial memory and communication savings, but its 1-bit quantizatio

Enterprises turn to runtime security to close the agentic AI trust gap

As enterprises push agentic AI out of the proof-of-concept phase and into production, AI runtime security — the ability to enforce policy at the exact moment an agent acts — is proving to be the bedro

safetysiliconangle

EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling

model-releasesarxiv-cs-ro

arXiv:2604.25782v1 Announce Type: cross Abstract: Earth observation satellite imaging scheduling is a challenging NP-hard combinatorial optimisation problem central to space mission operations. While

Applications

Ernie-5.1 from @ErnieforDevs lands at #13 in Text Arena — now the #1 highest-ranked model from a Chinese lab. Strongest categories: - #9 Mat…

applicationsjeremy-howard--x

Ernie-5.1 from @ErnieforDevs lands at #13 in Text Arena — now the #1 highest-ranked model from a Chinese lab. Strongest categories: - #9 Math - #1 Legal & Government - #4 Business, Management & Financ

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation

model-releasesarxiv-cs-cv

arXiv:2604.24876v1 Announce Type: new Abstract: Text guided 3D medical image segmentation offers a flexible alternative to class based and spatial prompt based models by allowing users to specify regi

Tools

eugene is doing a great job covering it on the @latentspacepod paper club (will post on the youtube soon) https://x.com/picocreator/status/2…

eugene is doing a great job covering it on the @latentspacepod paper club (will post on the youtube soon) https://x.com/picocreator/status/2047626012419313889?s=20 🗒️ Other things - FP4 MoE training -

toolsswyx--x

Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts

model-releasesarxiv-cs-cv

arXiv:2410.06723v2 Announce Type: replace-cross Abstract: Pathology foundation models (PFMs) have emerged as powerful pretrained encoders for computational pathology, but their robustness under clinic

Evaluating LLM Safety Under Repeated Inference via Accelerated Prompt Stress Testing

arXiv:2602.11786v2 Announce Type: replace Abstract: Traditional benchmarks for large language models (LLMs), such as HELM and AIR-BENCH, primarily assess safety through breadth-oriented evaluation acr

Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM

arXiv:2604.25119v1 Announce Type: new Abstract: Auditing the fine-tunes of open-weight generative models for harmful specialization has become a new governance challenge for model hosting platforms. T