Search: “models”

Retrieval as a Decision: Training-Free Adaptive Gating for Efficient RAG

arXiv:2511.09803v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) improves factuality but retrieving for every query often hurts quality while inflating tokens and latency. We p

safetyarxiv-cs-cl

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RFC: Solving the Metacognitive Deficit—A Modular Architecture for Self-Auditing and Live Weight-Correction in Agentic Systems

DGX agent

This Reddit post (r/ollama) proposes a community RFC (Request for Comments) discussing a modular architectural framework designed to address the 'metacognitive deficit' in agentic LLM systems — specif

agentsr-ollama

15 Apr 2026

RMGS-SLAM: Real-time Multi-sensor Gaussian Splatting SLAM

arXiv:2604.12942v1 Announce Type: new Abstract: Real-time 3D Gaussian splatting (3DGS)-based Simultaneous Localization and Mapping (SLAM) in large-scale real-world environments remains challenging, as

applicationsarxiv-cs-ro

Robust Reasoning and Learning with Brain-Inspired Representations under Hardware-Induced Nonlinearities

arXiv:2604.12079v1 Announce Type: cross Abstract: Traditional machine learning depends on high-precision arithmetic and near-ideal hardware assumptions, which is increasingly challenged by variability

Safe reinforcement learning with online filtering for fatigue-predictive human-robot task planning and allocation in production

arXiv:2604.12667v1 Announce Type: new Abstract: Human-robot collaborative manufacturing, a core aspect of Industry 5.0, emphasizes ergonomics to enhance worker well-being. This paper addresses the dyn

applicationsarxiv-cs-ai

Safety Training Modulates Harmful Misalignment Under On-Policy RL, But Direction Depends on Environment Design

arXiv:2604.12500v1 Announce Type: new Abstract: Specification gaming under Reinforcement Learning (RL) is known to cause LLMs to develop sycophantic, manipulative, or deceptive behavior, yet the condi

safetyarxiv-cs-lg

Social Learning Strategies for Evolved Virtual Soft Robots

arXiv:2604.12482v1 Announce Type: cross Abstract: Optimizing the body and brain of a robot is a coupled challenge: the morphology determines what control strategies are effective, while the control pa

tutorialsarxiv-cs-ai

Software Engineer (Research and Development) https://sakana.ai/careers/#software-engineer-research-and-development

Sakana AI is hiring a Software Engineer focused on Research and Development, as shared by David Ha (known as hardmaru on X), who is a co-founder of the Tokyo-based AI research company. The role likely

researchdavid-ha--x

SolarWinds accelerates observability with SW1, an ‘agentic AI teammate’ that automates IT firefighting

SolarWinds Worldwide LLC is making its play for the future of autonomous information technology operations with the launch of a new “agentic AI teammate” called SW1. Available starting today, it’s des

agentssiliconangle

SONIC training code + Finetuning checkpoint + VLA data collection scripts are open-sourced. Little easter egg on the GEAR-SONIC website too …

SONIC training code + Finetuning checkpoint + VLA data collection scripts are open-sourced. Little easter egg on the GEAR-SONIC website too :) https://github.com/NVlabs/GR00T-WholeBodyControl SONIC is

industryclem-delangue--x

Local Ai

TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs

arXiv:2602.18109v2 Announce Type: replace Abstract: Real-time schedulers must reason about tight deadlines under strict compute budgets. We present TempoNet, a reinforcement learning scheduler that pa

local-aiarxiv-cs-lg

Tesla Diner

Tesla is developing a diner concept, likely combining a retro-themed restaurant experience with Tesla Supercharger stations, allowing EV owners to dine while their vehicles charge. Elon Musk has refer

industryelon-musk--x

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

arXiv:2604.11998v1 Announce Type: cross Abstract: Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particu

Tip of the day: If you need help with configs, settings, setup, usage, exploration, tutorials, or development on Hermes Agent, just type /he…

Tip of the day: If you need help with configs, settings, setup, usage, exploration, tutorials, or development on Hermes Agent, just type /hermes-agent <prompt> Built in skill that gives your agent all

agentsnous-research--x

Token Encoding for Semantic Recovery

arXiv:2604.12931v1 Announce Type: cross Abstract: Token-based semantic communication is promising for future wireless networks, as it can compact semantic tokens under very limited channel capacity. H

Towards Platonic Representation for Table Reasoning: A Foundation for Permutation-Invariant Retrieval

arXiv:2604.12133v1 Announce Type: new Abstract: Historical approaches to Table Representation Learning (TRL) have largely adopted the sequential paradigms of Natural Language Processing (NLP). We argu

safetyarxiv-cs-ai

Turbo-DDCM: Fast and Flexible Zero-Shot Diffusion-Based Image Compression

arXiv:2511.06424v2 Announce Type: replace-cross Abstract: While zero-shot diffusion-based compression methods have seen significant progress in recent years, they remain notoriously slow and computati

Ultra-low-light computer vision using trained photon correlations

arXiv:2604.11993v1 Announce Type: new Abstract: Illumination using correlated photon sources has been established as an approach to allowing high-fidelity images to be reconstructed from noisy camera

tutorialsarxiv-cs-cv

Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks

arXiv:2604.11833v1 Announce Type: new Abstract: Despite the popularity of Convolutional Neural Networks (CNN), the problem of uncertainty quantification (UQ) of CNN has been largely overlooked. Lack o

US jobs too important to risk Chinese car imports, says Ford CEO

Ford CEO Jim Farley, in an interview on Fox News, argued that Chinese EVs should not be allowed into the U.S. market due to the 'devastating' impact they would have on the American auto industry. He h

industryars-technica

Using Learning Progressions to Guide AI Feedback for Science Learning

arXiv:2603.03249v2 Announce Type: replace Abstract: Generative artificial intelligence (AI) offers scalable support for formative feedback, yet most AI-generated feedback relies on task-specific rubri

tutorialsarxiv-cs-cl

Vision Transformers Need More Than Registers

arXiv:2602.22394v2 Announce Type: replace Abstract: Vision Transformers (ViTs), when pre-trained on large-scale data, provide general-purpose representations for diverse downstream tasks. However, art

researcharxiv-cs-cv

Local Ai

VNCCS QIE2511 PoseStudio Lora for ART has been updated!

local-air-stablediffusion

The VNCCS PoseStudio LoRA for QIE2511 (Qwen-Image-Edit-2511) is a LoRA adapter designed to enhance pose control within the VNCCS (Visual Novel Character Creation Suite) ecosystem for ComfyUI. VNCCS Po

which way, modern man?

Harrison Chase, the creator of LangChain, shares reflections or opinions on directions for modern AI development, tooling, or the broader technology landscape. The post likely explores strategic or ph

agentsharrison-chase--x

Whole-Body Mobile Manipulation using Offline Reinforcement Learning on Sub-optimal Controllers

arXiv:2604.12509v1 Announce Type: cross Abstract: Mobile Manipulation (MoMa) of articulated objects, such as opening doors, drawers, and cupboards, demands simultaneous, whole-body coordination betwee

safetyarxiv-cs-cv

‘You better have a lot of trust’: Oracle’s urgent case for rebuilding AI from the data up

AI can now generate thousands of lines of working code in minutes — but the question of whether enterprises can trust what those systems build has become the defining challenge of the current moment.

agentssiliconangle

3D Multi-View Stylization with Pose-Free Correspondences Matching for Robust 3D Geometry Preservation

arXiv:2604.09639v1 Announce Type: new Abstract: Artistic style transfer is well studied for images and videos, but extending it to multi-view 3D scenes remains difficult because stylization can disrup

safetyarxiv-cs-cv

A Coordinate-Invariant Local Representation of Motion and Force Trajectories for Identification and Generalization Across Coordinate Systems

arXiv:2604.10241v1 Announce Type: new Abstract: Identifying the trajectories of rigid bodies and of interaction forces is essential for a wide range of tasks in robotics, biomechanics, and related dom

researcharxiv-cs-ro

A Deep Equilibrium Network for Hyperspectral Unmixing

arXiv:2604.11279v1 Announce Type: new Abstract: Hyperspectral unmixing (HU) is crucial for analyzing hyperspectral imagery, yet achieving accurate unmixing remains challenging. While traditional metho

applicationsarxiv-cs-cv

A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network

arXiv:2308.01917v3 Announce Type: replace-cross Abstract: Cloud providers can greatly benefit from accurate workload prediction. However, the workload of cloud servers is highly variable, with occasio

applicationsarxiv-cs-lg

A molecular clock for writing systems reveals the quantitative impact of imperial power on cultural evolution

arXiv:2604.10957v1 Announce Type: cross Abstract: Writing systems are cultural replicators whose evolution has never been studied quantitatively at global scale. We compile the Global Script Database

A Multilingual Dataset and Empirical Validation for the Mutual Reinforcement Effect in Information Extraction

arXiv:2407.10953v5 Announce Type: replace Abstract: The Mutual Reinforcement Effect (MRE) describes a phenomenon in information extraction where word-level and sentence-level tasks can mutually improv

safetyarxiv-cs-cl

A Temporally Augmented Graph Attention Network for Affordance Classification

arXiv:2604.10149v1 Announce Type: cross Abstract: Graph attention networks (GATs) provide one of the best frameworks for learning node representations in relational data; but, existing variants such a

Adoption and Effectiveness of AI-Based Anomaly Detection for Cross Provider Health Data Exchange

arXiv:2604.09630v1 Announce Type: cross Abstract: This study investigates the adoption and effectiveness of AI-based anomaly detection in cross-provider electronic health record (EHR) environments. It

tutorialsarxiv-cs-ai

AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Afford Correspondence

arXiv:2604.10579v1 Announce Type: cross Abstract: Despite the recent success of modern imitation learning methods in robot manipulation, their performance is often constrained by geometric variations

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Affostruction: 3D Affordance Grounding with Generative Reconstruction

arXiv:2601.09211v2 Announce Type: replace Abstract: This paper addresses the problem of affordance grounding from RGBD images of an object, which aims to localize surface regions corresponding to a te

researcharxiv-cs-cv

AI sycophancy is 41% worse on philosophy than math - and varies by who's asking, new study finds

A study on AI sycophancy finds that the phenomenon varies significantly by domain and user context — with subjective, opinion-based fields like philosophy showing substantially higher rates of AI agre

industryr-chatgpt

An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs

arXiv:2406.11290v3 Announce Type: replace-cross Abstract: Relevance and utility are two frequently used measures to evaluate the effectiveness of an information retrieval (IR) system. Relevance emphas

Automatic Uncertainty-Aware Synthetic Data Bootstrapping for Historical Map Segmentation

arXiv:2511.15875v2 Announce Type: replace Abstract: The automated analysis of historical documents, particularly maps, has drastically benefited from advances in deep learning and its success across v

applicationsarxiv-cs-cv

BEM: Training-Free Background Embedding Memory for False-Positive Suppression in Real-Time Fixed-Background Camera

arXiv:2604.11714v1 Announce Type: new Abstract: Pretrained detectors perform well on benchmarks but often suffer performance degradation in real-world deployments due to distribution gaps between trai

applicationsarxiv-cs-cv

Best practices to run inference on Amazon SageMaker HyperPod

This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic scaling, simplified deployme

tutorialsaws-ml-blog

Beyond Theory of Mind in Robotics

arXiv:2604.09612v1 Announce Type: new Abstract: Theory of Mind, the capacity to explain and predict behavior by inferring hidden mental states, has become the dominant paradigm for social interaction

Big release here! Async subagents will become more and more of a thing, as subagents get longer running and you don’t want to block the even…

Big release here! Async subagents will become more and more of a thing, as subagents get longer running and you don’t want to block the event loop 🚀 deepagents 0.5 release 👉 Async subagents - kick off

agentsharrison-chase--x

BMdataset: A Musicologically Curated LilyPond Dataset

arXiv:2604.10628v1 Announce Type: cross Abstract: Symbolic music research has relied almost exclusively on MIDI-based datasets; text-based engraving formats such as LilyPond remain unexplored for musi

researcharxiv-cs-cl

'bot lane noob' Towards Deployment of NLP-based Toxicity Detectors in Video Games

arXiv:2604.10175v1 Announce Type: cross Abstract: Toxicity and harassment are widespread in the video-gaming context. Especially in competitive online multiplayer scenarios, gamers oftentimes send har

Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding

arXiv:2604.10617v1 Announce Type: cross Abstract: Recent progress in brain-guided image generation has improved the quality of fMRI-based reconstructions; however, fundamental challenges remain in pre

safetyarxiv-cs-cv

CAGE: Bridging the Accuracy-Aesthetics Gap in Educational Diagrams via Code-Anchored Generative Enhancement

arXiv:2604.09691v1 Announce Type: cross Abstract: Educational diagrams -- labeled illustrations of biological processes, chemical structures, physical systems, and mathematical concepts -- are essenti

CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction

arXiv:2604.11202v1 Announce Type: cross Abstract: We present CapBench, a fully reproducible, multi-PDK dataset for capacitance extraction. The dataset is derived from open-source designs, including si