Search: “models”

arXiv:2604.09036v1 Announce Type: new Abstract: Scaling Vision-Language-Action (VLA) models requires massive datasets that are both semantically coherent and physically feasible. However, existing sce

agentsarxiv-cs-ro

VAG: Dual-Stream Video-Action Generation for Embodied Data Synthesis

DGX agent

arXiv:2604.09330v1 Announce Type: cross Abstract: Recent advances in robot foundation models trained on large-scale human teleoperation data have enabled robots to perform increasingly complex real-wo

safetyarxiv-cs-cv

13 Apr 2026

VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images

arXiv:2604.09531v1 Announce Type: cross Abstract: Vision-language models (VLMs) still struggle with visual perception tasks such as spatial understanding and viewpoint recognition. One plausible contr

Watt Counts: Energy-Aware Benchmark for Sustainable LLM Inference on Heterogeneous GPU Architectures

arXiv:2604.09048v1 Announce Type: cross Abstract: While the large energy consumption of Large Language Models (LLMs) is recognized by the community, system operators lack guidance for energy-efficient

Industry

we used Chandra-OCR-2 by @datalabto: https://huggingface.co/datalab-to/chandra-ocr-2 Full write-up by @NielsRogge: https://huggingface.co/bl…

Chandra-OCR-2 is an optical character recognition model developed by DataLab, available on Hugging Face at datalab-to/chandra-ocr-2. The model was highlighted by Hugging Face CEO Clément Delangue, wit

industryclem-delangue--x

When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning

arXiv:2510.07517v5 Announce Type: replace Abstract: Multi-agent debate (MAD) aims to improve large language model (LLM) reasoning by letting multiple agents exchange answers and then aggregate their o

Can't get a good coding setup on Macbook Pro M3 Max 36GB

This Reddit thread from r/ollama discusses a user's difficulty achieving a satisfactory local AI coding assistant setup using Ollama on a MacBook Pro M3 Max with 36GB of unified memory. The discussion

local-air-ollama

Gemma 4 audio with MLX

model-releasessimon-willison

Thanks to a tip from Rahim Nathwani, here's a uv run recipe for transcribing an audio file on macOS using the 10.28 GB Gemma 4 E2B model with MLX and mlx-vlm: uv run --python 3.13 --with mlx_vlm --wit

Greg Rutkowski Anima Lora from Circlestone Labs (Anima makers) with training params

This Reddit post discusses a LoRA trained to emulate the style of digital artist Greg Rutkowski, built on top of Circlestone Labs' Anima model — a 2 billion parameter text-to-image model created via a

Most people building AI agents don't realize this until it's too late. Your agent's memory isn't a feature. It's your moat. 1. Closed harnes…

model-releasesharrison-chase--x

Most people building AI agents don't realize this until it's too late. Your agent's memory isn't a feature. It's your moat. 1. Closed harness = they own your memory 2. Switch models → lose all context

Tile upscale controlnet with Z-Image-Base? Has anybody achieved good results?

This Reddit thread from r/StableDiffusion discusses community experiences using ControlNet Tile upscaling in combination with Z-Image-Base, a Stable Diffusion base model. ControlNet Tile models are of

Agents

Topping the charts!

Nous Research shared a post celebrating a model or benchmark achievement reaching the top of a performance leaderboard, likely referencing one of their Hermes or other open-source model releases. The

agentsnous-research--x

Z-Image Turbo Checkpoint - Deedeemegadoodo Edition

The 'Z-Image Turbo Checkpoint - Deedeemegadoodo Edition' is a community-shared checkpoint on r/StableDiffusion based on Z-Image Turbo, a distilled version of Z-Image, a 6B image model developed by the

fine-tune LTX 2.3 with his own dataset?

This r/StableDiffusion thread discusses how to fine-tune the LTX-Video 2.3 model on a personal dataset, with the primary approach being LoRA (Low-Rank Adaptation), which fine-tunes a large AI model on

I got trolled

A Reddit post from the r/StableDiffusion community in which a user shares an experience of being trolled, likely related to AI image generation workflows, model recommendations, or settings advice. Th

I reduced my token usage by 178x in Claude Code!!

A Reddit post from r/ollama describing how a user dramatically reduced their Claude Code token consumption by 178x, likely by routing simpler or lower-stakes tasks to a locally-run model via Ollama in

model-releasesr-ollama

SDXL workflow

This Reddit post from r/StableDiffusion discusses an SDXL (Stable Diffusion XL) image generation workflow, likely covering pipeline setup, prompting strategies, and tool configurations using interface

A Novel Automatic Framework for Speaker Drift Detection in Synthesized Speech

arXiv:2604.06327v1 Announce Type: cross Abstract: Recent diffusion-based text-to-speech (TTS) models achieve high naturalness and expressiveness, yet often suffer from speaker drift, a subtle, gradual

AdaSpark: Adaptive Sparsity for Efficient Long-Video Understanding

arXiv:2604.08077v1 Announce Type: new Abstract: Processing long-form videos with Video Large Language Models (Video-LLMs) is computationally prohibitive. Current efficiency methods often compromise fi

researcharxiv-cs-cv

Advanced inpaint/edit Klein/Qwen workflows

model-releasesr-stablediffusion

A Reddit post on r/StableDiffusion discussing advanced ComfyUI workflows that combine the FLUX Klein and Qwen Image Edit models for precision inpainting and image editing tasks. FLUX Klein offers ...

AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents

arXiv:2604.06696v1 Announce Type: new Abstract: The rapid development of AI agent systems is leading to an emerging Internet of Agents, where specialized agents operate across local devices, edge node

AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors

model-releasesarxiv-cs-cv

arXiv:2604.07053v2 Announce Type: replace Abstract: Recent feed-forward Gaussian reconstruction models adopt a pixel-aligned formulation that maps each 2D pixel to a 3D Gaussian, entangling Gaussian r

Anthropic and OpenAI target big businesses with enterprise-grade controls and lower pricing

model-releasessiliconangle

Artificial intelligence leaders Anthropic PBC and OpenAI Group PBC are stepping up their efforts to compete for the enterprise, making their most advanced agentic tools more accessible to the largest

Anticipating tipping in spatiotemporal systems with machine learning

model-releasesarxiv-cs-lg

arXiv:2604.06454v1 Announce Type: cross Abstract: In nonlinear dynamical systems, tipping refers to a critical transition from one steady state to another, typically catastrophic, steady state, often

Safety

Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection

arXiv:2604.07831v1 Announce Type: cross Abstract: Existing red-teaming studies on GUI agents have important limitations. Adversarial perturbations typically require white-box access, which is unavaila

safetyarxiv-cs-cl

Bad news on Happy Horse from twitter

HappyHorse-1.0 is a pseudonymous AI video generation model that appeared on April 7, 2026, topping the Artificial Analysis Video Arena leaderboard in both text-to-video and image-to-video (no audio...

Hardware

Behind the Analysis with Google Cloud and Team USA: Architecting AI infrastructure for U.S. Winter Olympians

In freeskiing and snowboarding, traditional video replay shows you what happened during a complex aerial maneuver, but it fails to explain the physics of how it was possible. At the speed of the sport

hardwaregoogle-cloud-ai

Benchmarking LLM Tool-Use in the Wild

arXiv:2604.06185v1 Announce Type: cross Abstract: Fulfilling user needs through Large Language Model multi-turn, multi-step tool-use is rarely a straightforward process. Real user interactions are inh

Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code

arXiv:2604.05292v2 Announce Type: replace-cross Abstract: AI coding assistants are now used to generate production code in security-sensitive domains, yet the exploitability of their outputs remains u

Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient Solutions

arXiv:2604.06435v1 Announce Type: cross Abstract: Visual Anomaly Detection (VAD) is a critical task for many applications including industrial inspection and healthcare. While VAD has been extensively

Countering the Over-Reliance Trap: Mitigating Object Hallucination for LVLMs via a Self-Validation Framework

arXiv:2601.22451v2 Announce Type: replace-cross Abstract: Despite progress in Large Vision Language Models (LVLMs), object hallucination remains a critical issue in image captioning task, where models

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation

arXiv:2511.19365v2 Announce Type: replace-cross Abstract: Pixel diffusion aims to generate images directly in pixel space in an end-to-end fashion. This approach avoids the limitations of VAE in the t

Differentially Private Language Generation and Identification in the Limit

arXiv:2604.08504v1 Announce Type: cross Abstract: We initiate the study of language generation in the limit, a model recently introduced by Kleinberg and Mullainathan [KM24], under the constraint of d

researcharxiv-cs-cl

Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

arXiv:2604.06515v1 Announce Type: cross Abstract: Sparse Mixture-of-Experts (MoE) allows scaling of language and vision models efficiently by activating only a small subset of experts per input. While

Evaluating In-Context Translation with Synchronous Context-Free Grammar Transduction

arXiv:2604.07320v1 Announce Type: cross Abstract: Low-resource languages pose a challenge for machine translation with large language models (LLMs), which require large amounts of training data. One p

Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development

arXiv:2604.06793v1 Announce Type: cross Abstract: Software documentation is crucial for repository comprehension. While Large Language Models (LLMs) advance documentation generation from code snippets

EvoFlows: Evolutionary Edit-Based Flow-Matching for Protein Engineering

arXiv:2603.11703v2 Announce Type: replace Abstract: We introduce EvoFlows, a variable-length protein sequence-to-sequence modeling approach designed for protein engineering. Existing protein language

researcharxiv-cs-lg

Fighting AI with AI: AI-Agent Augmented DNS Blocking of LLM Services during Student Evaluations

arXiv:2604.02360v1 Announce Type: cross Abstract: The transformative potential of large language models (LLMs) in education, such as improving accessibility and personalized learning, is being eclipse

glm 5.1 is doing well

GLM-5.1 is Z.ai's next-generation flagship model for agentic engineering, built on a 754-billion parameter Mixture-of-Experts architecture with 40 billion active parameters per token, a 200,000-tok...

local-air-ollama

Agents

How Much LLM Does a Self-Revising Agent Actually Need?

arXiv:2604.07236v2 Announce Type: new Abstract: Recent LLM-based agents often place world modeling, planning, and reflection inside a single language model loop. This can produce capable behavior, but

agentsarxiv-cs-ai

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

arXiv:2604.06481v1 Announce Type: cross Abstract: This study introduces a hybrid deep learning model for intrusion detection in Industrial IoT (IIoT) systems, combining ResNet-1D, BiGRU, and Multi-Hea

In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,...), the real differentiation for yo…

model-releasesclem-delangue--x

In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,...), the real differentiation for you and your company (and what makes you successful) will be h

InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding

model-releasesarxiv-cs-cv

arXiv:2604.08337v1 Announce Type: new Abstract: Current vision-language pre-training (VLP) paradigms excel at global scene understanding but struggle with instance-level reasoning due to global-only s

k-Maximum Inner Product Attention for Graph Transformers and the Expressive Power of GraphGPS

arXiv:2604.03815v2 Announce Type: replace-cross Abstract: Graph transformers have shown promise in overcoming limitations of traditional graph neural networks, such as oversquashing and difficulties i

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency

model-releasesarxiv-cs-cv

arXiv:2604.07904v1 Announce Type: cross Abstract: Spatiotemporal neural dynamics and oscillatory synchronization are widely implicated in biological information processing and have been hypothesized t

Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks

arXiv:2604.06255v1 Announce Type: cross Abstract: Stellar astrophysics relies critically on accurate descriptions of the physical conditions inside stars. Traditional solvers such as exttt{MESA} (Mo

LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization

arXiv:2510.13907v3 Announce Type: replace Abstract: Large language models (LLMs) are highly sensitive to prompts, but most automatic prompt optimization (APO) methods assume access to ground-truth ref

researcharxiv-cs-cl

Logics-Parsing-Omni Technical Report

arXiv:2603.09677v3 Announce Type: replace Abstract: Addressing the challenges of fragmented task definitions and the heterogeneity of unstructured data in multimodal parsing, this paper proposes the O