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On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization

arXiv:2511.11362v2 Announce Type: replace-cross Abstract: On-device fine-tuning is a critical capability for edge AI systems, which must support adaptation to different agentic tasks under stringent m

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Refining Compositional Diffusion for Reliable Long-Horizon Planning

DGX agent

arXiv:2605.03075v1 Announce Type: cross Abstract: Compositional diffusion planning generates long-horizon trajectories by stitching together overlapping short-horizon segments through score compositio

local-aiarxiv-cs-lg

6 May 2026

RouteHijack: Routing-Aware Attack on Mixture-of-Experts LLMs

arXiv:2605.02946v1 Announce Type: new Abstract: Safety alignment is critical for the responsible deployment of large language models (LLMs). As Mixture-of-Experts (MoE) architectures are increasingly

RPBA-Net: An Interpretable Residual Pyramid Bilateral Affine Network for RAW-Domain ISP Enhancement

arXiv:2605.03626v1 Announce Type: new Abstract: To address module fragmentation, uninterpretable mappings, and deployment constraints in RAW-domain demosaicing, color correction, and detail enhancemen

Segmenting Human-LLM Co-authored Text via Change Point Detection

arXiv:2605.03723v1 Announce Type: new Abstract: The rise of large language models (LLMs) has created an urgent need to distinguish between human-written and LLM-generated text to ensure authenticity a

SenseNova U1 Infographic Test: Capabilities in Image-Based Reasoning

SenseNova U1 is an open-source unified multimodal model that integrates understanding, reasoning, and generation within a single architecture, with particular strength in creating complex infographics

SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification

arXiv:2605.03301v1 Announce Type: new Abstract: De-identification of clinical text remains essential for secondary use of electronic health records (EHRs), yet public benchmarks such as i2b2 2006/2014

Stochastic Attention: Connectome-Inspired Randomized Routing for Expressive Linear-Time Attention

arXiv:2604.00754v2 Announce Type: replace Abstract: The whole-brain connectome of a fruit fly comprises over 130K neurons connected with a probability of merely 0.02%, yet achieves an average shortest

TACO: Trajectory Aligning Cross-view Optimisation

arXiv:2605.03315v1 Announce Type: new Abstract: Cross-View Geo-localisation (CVGL) matches ground imagery against satellite tiles to give absolute position fixes, an alternative to GNSS where signals

Tencent is about to release an anime video model (AniMatrix).

Tencent launched Hunyuan Video in December 2024, an open-source AI video generation model with 13 billion parameters that supports text-to-video and image-to-video conversion. The model brings unique

Thanks to the sub my silly node and workflow got 3k downloads overnight, therefore I fixed some bugs, unified some features, and uploaded the latest and the greatest version to HF.

A Stable Diffusion community member shared that their custom node and workflow achieved 3,000 downloads after being featured on the subreddit, prompting them to fix bugs, consolidate features, and rel

The Detector Teaches Itself: Lightweight Self-Supervised Adaptation for Open-Vocabulary Object Detection

arXiv:2605.03642v1 Announce Type: new Abstract: Open-vocabulary object detection aims to recognize objects from an open set of categories, which leverages vision-language models (VLMs) pre-trained on

Tracing the Dynamics of Refusal: Exploiting Latent Refusal Trajectories for Robust Jailbreak Detection

arXiv:2605.02958v1 Announce Type: cross Abstract: Representation Engineering typically relies on static refusal vectors derived from terminal representations. We move beyond this paradigm, demonstrati

Try the workflow: https://links.comfy.org/3OOn9YV

This is a workflow link shared by ComfyUI on X (Twitter), likely demonstrating a specific node setup or image generation process within the ComfyUI application. The link points to ComfyUI's workflow s

Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers

arXiv:2605.03614v1 Announce Type: new Abstract: Visual affordances identify regions in an image with potential interactions, offering a novel paradigm for scene understanding. Recognizing affordances

Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry

arXiv:2510.16790v2 Announce Type: replace Abstract: This paper presents a fully unsupervised approach for binary road segmentation (road vs. non-road), eliminating the reliance on costly manually labe

Use Quick Review for a fast local check before pushing: free with SWE-check, our specialized bug detection model built for this task. Use De…

Use Quick Review for a fast local check before pushing: free with SWE-check, our specialized bug detection model built for this task. Use Devin Review for deeper PR review: smart diff organization, bu

local-aiwindsurf--x

VL-SAM-v3: Memory-Guided Visual Priors for Open-World Object Detection

arXiv:2605.03456v1 Announce Type: new Abstract: Open-world object detection aims to localize and recognize objects beyond a fixed closed-set label space. It is commonly divided into two categories, i.

We built a simple app that's also probably the best PDF -> text phone app there. Take a picture of any document: a filled out form, identifi…

We built a simple app that's also probably the best PDF -> text phone app there. Take a picture of any document: a filled out form, identification, a statement, an essay - and we'll convert it into we

local-aijerry-liu--x

[Z-Image] REALSTAGRAM_ZIMG — subtle realism LoRA for Z-Image Turbo (works with any character LoRA)

REALSTAGRAM_ZIMG is a LoRA (Low-Rank Adaptation) module designed for Z-Image Turbo that applies subtle realistic styling to generated images. The tool is compatible with character LoRAs, allowing user

A Synthesizable RTL Implementation of Predictive Coding Networks

arXiv:2603.18066v2 Announce Type: replace-cross Abstract: Backpropagation has enabled modern deep learning but is difficult to realize as an online, fully distributed hardware learning system due to g

Another set of Astra 2 comparisons. The detail speaks for itself.

This post from ComfyUI on X (Twitter) likely compares different versions or configurations of Astra 2, a model or tool within the ComfyUI ecosystem, emphasizing that the detailed results demonstrate c

b9028

B9028 is a release build from the llama.cpp project, which provides LLM inference in C/C++. The llama.cpp project uses sequential build numbers (like b9028) to track intermediate releases of its LLM i

b9030

B9030 is a release build of llama.cpp, a C/C++ implementation for LLM inference . This build release would contain bug fixes, performance improvements, and new features added to the llama.cpp project

b9031

Release b9031 of llama.cpp optimizes backend loading by only loading backends when required, as specified in pull request #22290 . The release includes binary builds for multiple platforms including m

b9033

Release b9033 is a build of llama.cpp with a sync of ggml , published on May 5, 2026. The release provides compiled binaries across multiple platforms including macOS, Linux, Android, Windows, and ope

Biological Spatial Priors Regularize Foundation Model Representations for Cross-Site MSI Generalization in Colorectal Cancer

arXiv:2605.02660v1 Announce Type: cross Abstract: Predicting microsatellite instability (MSI) status from routine hematoxylin and eosin (H&E) whole slide images (WSIs) offers a practical alternative t

Bridging the Experimental Last Mile: Digitizing Laboratory Know-How for Safe AI-Assisted Support

arXiv:2604.16345v2 Announce Type: replace-cross Abstract: While advances in materials informatics have accelerated the development of Self-Driving Laboratories (SDLs), human-led experiments remain sta

local-aiarxiv-cs-ai

CHASE: Competing Hypotheses for Ambiguity-Aware Selective Prediction

arXiv:2605.01346v1 Announce Type: new Abstract: Standard selective prediction methods typically estimate uncertainty from the output of a single predictive branch. While effective for general uncertai

Differentiable Kernel Ridge Regression for Deep Learning Pipelines

arXiv:2605.02313v1 Announce Type: new Abstract: Deep neural networks dominate modern machine learning, while alternative function approximators remain comparatively underexplored at scale. In this wor

Diffusion Operator Geometry of Feedforward Representations

arXiv:2605.01107v1 Announce Type: new Abstract: Neural networks transform data through learned representations whose geometry affects separation, contraction, and generalization. Recent work studies t

DynoSLAM: Dynamic SLAM with Generative Graph Neural Networks for Real-World Social Navigation

arXiv:2605.02759v1 Announce Type: cross Abstract: Traditional Simultaneous Localization and Mapping (SLAM) algorithms rely heavily on the static environment assumption, which severely limits their app

Energy-Based Constraint Networks: Learning Structural Coherence Across Modalities

arXiv:2605.00960v1 Announce Type: cross Abstract: We introduce energy-based constraint networks -- a modality-agnostic architecture that learns structural coherence from contrastive pairs. The system

FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometr

arXiv:2505.14062v3 Announce Type: replace Abstract: Vision Mamba offers linear complexity for long visual sequences, yet its performance depends critically on how a two-dimensional patch grid is seria

Graph Federated Unlearning for Privacy Preservation

arXiv:2605.02297v1 Announce Type: new Abstract: Graph federated learning (GFL) facilitates decentralized training on distributed graph data while keeping sensitive user information local, aligning wit

Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation

arXiv:2605.02169v1 Announce Type: new Abstract: We propose HeroCrystal, a novel privacy-preserving framework for multi-camera domain-adaptive object detection, addressing challenges such as data priva

Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design

arXiv:2605.00931v1 Announce Type: new Abstract: Federated learning (FL) is fundamentally a distributed optimization problem executed by communicating agents with local data, local computation, and par

High-Fidelity Mobile Avatars with Pruned Local Blendshapes

arXiv:2605.01854v1 Announce Type: new Abstract: We propose a method to reconstruct high-fidelity human avatars from multi-view video that can run on mobile devices. Many works can model high-quality G

Hybrid Visual Telemetry for Bandwidth-Constrained Robotic Vision: A Pilot Study with HEVC Base Video and JPEG ROI Stills

arXiv:2605.01826v1 Announce Type: new Abstract: Bandwidth-constrained robotic and surveillance systems often rely on a single compressed video stream to support both continuous scene awareness and dow

IConFace: Identity-Structure Asymmetric Conditioning for Unified Reference-Aware Face Restoration

arXiv:2605.02814v1 Announce Type: new Abstract: Blind face restoration is highly ill-posed under severe degradation, where identity-critical details may be missing from the degraded input. Same-identi

If you've been caught in a layoff recently - we're hiring, and we're building something worth landing at. ComfyUI is the world's most powerf…

If you've been caught in a layoff recently - we're hiring, and we're building something worth landing at. ComfyUI is the world's most powerful and widely used workflow engine for visual AI. 110K+ GitH

Linearizing Vision Transformer with Test-Time Training

arXiv:2605.02772v1 Announce Type: new Abstract: While linear-complexity attention mechanisms offer a promising alternative to Softmax attention for overcoming the quadratic bottleneck, training such m

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers

arXiv:2509.15113v2 Announce Type: replace Abstract: The growing demand for energy-efficient, high-performance AI systems has led to increased attention on alternative computing platforms (e.g., photon

Luma Uni-1 just landed in ComfyUI. Most image models: prompt → pixels. Uni-1: prompt → reasoning → pixels. Autoregressive, not diffusion. De…

Luma Uni-1 just landed in ComfyUI. Most image models: prompt → pixels. Uni-1: prompt → reasoning → pixels. Autoregressive, not diffusion. Decomposes instructions, resolves constraints, plans compositi

Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption

arXiv:2605.01137v1 Announce Type: new Abstract: Metric differential privacy (mDP) strengthens local differential privacy (LDP) by scaling noise to semantic distance, but many machine learning (ML) sys

Neural Cellular Automata: From Cells to Pixels

arXiv:2506.22899v3 Announce Type: replace Abstract: Neural Cellular Automata (NCAs) are bio-inspired dynamical systems in which identical cells iteratively apply a learned local update rule to self-or

Open-access model for detecting openly dumped dispersed municipal solid waste from crowdsourced UAV imagery in Sub-Saharan Africa

arXiv:2605.02316v1 Announce Type: new Abstract: Managing municipal solid waste in rapidly urbanizing Sub-Saharan Africa remains challenging due to dispersed informal dumping and limited high-resolutio

Parllama -- a terminal UI for Ollama model management and multi-provider LLM chat

Parllama is a TUI (Text UI) application designed for easy management and use of Ollama-based LLMs that also works with major cloud-provided LLMs. It provides core model management features including f

local-air-ollama