Search: “models”

GlobalCY I: A JAX Framework for Globally Defined and Symmetry-Aware Neural Kahler Potentials

model-releasesarxiv-cs-lg

arXiv:2604.11404v1 Announce Type: cross Abstract: We present GlobalCY, a JAX-based framework for globally defined and symmetry-aware neural Kahler-potential models on projective hypersurface Calabi--Y

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Local Ai

Honest question - What model are Iran using for those excellent Lego Videos?

DGX agent

This Reddit thread from r/StableDiffusion discusses the AI tools behind the viral Lego-style propaganda videos produced by Explosive Media, known in Persian as Akhbar Enfejari — a group whose AI-gener

local-air-stablediffusion

14 Apr 2026

HuiYanEarth-SAR: A Foundation Model for High-Fidelity and Low-Cost Global Remote Sensing Imagery Generation

arXiv:2604.11444v1 Announce Type: new Abstract: Synthetic Aperture Radar (SAR) imagery generation is essential for deepening the study of scattering mechanisms, establishing trustworthy electromagneti

researcharxiv-cs-cv

If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs

arXiv:2503.23514v2 Announce Type: replace-cross Abstract: Large language models (LLMs) can carry out human-like dialogue, but unlike humans, they are stateless due to the superposition property. Howev

Intelligent Approval of Access Control Flow in Office Automation Systems via Relational Modeling

arXiv:2604.11040v1 Announce Type: new Abstract: Office automation (OA) systems play a crucial role in enterprise operations and management, with access control flow approval (ACFA) being a key compone

applicationsarxiv-cs-ai

ITIScore: An Image-to-Text-to-Image Rating Framework for the Image Captioning Ability of MLLMs

model-releasesarxiv-cs-cv

arXiv:2604.03765v2 Announce Type: replace Abstract: Recent advances in multimodal large language models (MLLMs) have greatly improved image understanding and captioning capabilities. However, existing

Learning Racket-Ball Bounce Dynamics Across Diverse Rubbers for Robotic Table Tennis

model-releasesarxiv-cs-ro

arXiv:2604.11349v1 Announce Type: new Abstract: Accurate dynamic models for racket-ball bounces are essential for reliable control in robotic table tennis. Existing models typically assume simple line

New Hybrid Fine-Tuning Paradigm for LLMs: Algorithm Design and Convergence Analysis Framework

arXiv:2604.09940v1 Announce Type: new Abstract: Fine-tuning Large Language Models (LLMs) typically involves either full fine-tuning, which updates all model parameters, or Parameter-Efficient Fine-Tun

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions

arXiv:2604.11403v1 Announce Type: cross Abstract: Analyzing unsteady fluid flows often requires access to the full distribution of possible temporal states, yet conventional PDE solvers are computatio

applicationsarxiv-cs-ai

StableTTA: Training-Free Test-Time Adaptation that Improves Model Accuracy on ImageNet1K to 96%

arXiv:2604.04552v2 Announce Type: replace-cross Abstract: Ensemble methods are widely used to improve predictive performance, but their effectiveness often comes at the cost of increased memory usage

Towards Situation-aware State Modeling for Air Traffic Flow Prediction

arXiv:2604.11198v1 Announce Type: new Abstract: Accurate air traffic prediction in the terminal airspace (TA) is pivotal for proactive air traffic management (ATM). However, existing data-driven appro

applicationsarxiv-cs-lg

Vibe-driven model-based engineering

arXiv:2604.10645v1 Announce Type: cross Abstract: There is a pressing need for better development methods and tools to keep up with the growing demand and increasing complexity of new software systems

researcharxiv-cs-ai

Local Ai

Waypoint-1.5 New open source world model trained on FPS games to run on local consumer GPUs at 60fps

local-air-stablediffusion

Waypoint-1.5 New open source world model trained on FPS games to run on local consumer GPUs at 60fps

What do your logits know? (The answer may surprise you!)

arXiv:2604.09885v1 Announce Type: new Abstract: Recent work has shown that probing model internals can reveal a wealth of information not apparent from the model generations. This poses the risk of un

tutorialsarxiv-cs-ai

⚡️ Zig 0.16 is out. And the new I/O model is a huge shift. • Swap implementations (threaded, evented, etc.) • Write code that looks blocking…

tutorialsjeremy-howard--x

⚡️ Zig 0.16 is out. And the new I/O model is a huge shift. • Swap implementations (threaded, evented, etc.) • Write code that looks blocking but runs async • Composable like allocators https://ziglang

Did the $100 Plan Affect the GPT-5.4 Pro Model?

This Reddit thread likely discusses community questions around OpenAI's new 100/month ChatGPT Pro tier and its implications for access to GPT-5.4 Pro. OpenAI introduced a 100/month Pro tier positioned

model-releasesr-chatgpt

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight

model-releasesarxiv-cs-ro

arXiv:2501.14377v2 Announce Type: replace Abstract: Autonomous drone racing has risen as a challenging robotic benchmark for testing the limits of learning, perception, planning, and control. Expert h

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification

model-releasesarxiv-cs-cv

arXiv:2604.09468v1 Announce Type: cross Abstract: In this study, we proposed a deep Swin-Vision Transformer-based transfer learning architecture for robust multi-cancer histopathological image classif

GeRM: A Generative Rendering Model From Physically Realistic to Photorealistic

arXiv:2604.09304v1 Announce Type: new Abstract: For decades, Physically-Based Rendering (PBR) is the fundation of synthesizing photorealisitic images, and therefore sometimes roughly referred as Photo

agentsarxiv-cs-cv

Koopman Operator Framework for Modeling and Control of Off-Road Vehicle on Deformable Terrain

arXiv:2603.28965v2 Announce Type: replace-cross Abstract: This work presents a hybrid physics-informed and data-driven modeling framework for predictive control of autonomous off-road vehicles operati

agentsarxiv-cs-ro

PRAGMA: Revolut Foundation Model

arXiv:2604.08649v1 Announce Type: cross Abstract: Modern financial systems generate vast quantities of transactional and event-level data that encode rich economic signals. This paper presents PRAGMA,

researcharxiv-cs-cl

QoS-QoE Translation with Large Language Model

model-releasesarxiv-cs-lg

arXiv:2604.08703v1 Announce Type: cross Abstract: QoS-QoE translation is a fundamental problem in multimedia systems because it characterizes how measurable system and network conditions affect user-p

Robust Reasoning Benchmark

arXiv:2604.08571v1 Announce Type: cross Abstract: While Large Language Models (LLMs) achieve high performance on standard mathematical benchmarks, their underlying reasoning processes remain highly ov

We wrote a build-from-scratch Python book on the 98% of production AI systems that isn't the model call [P]

applicationsr-machinelearning

This Reddit post from r/MachineLearning announces a build-from-scratch Python book focused on the engineering infrastructure surrounding AI systems — the components beyond the model call itself, such

What Matters in Virtual Try-Off? Dual-UNet Diffusion Model For Garment Reconstruction

arXiv:2604.08716v1 Announce Type: new Abstract: Virtual Try-On (VTON) has seen rapid advancements, providing a strong foundation for generative fashion tasks. However, the inverse problem, Virtual Try

tutorialsarxiv-cs-cv

gemma 4 going insane

This r/ollama thread discusses users experiencing erratic and broken behavior when running Google's Gemma 4 models locally via Ollama, including issues such as strange and unrelated responses, as well

model-releasesr-ollama

12 Apr 2026

Local Ai

model page: https://ollama.com/library/minimax-m2.7

MiniMax-M1 is a large-scale open-weight reasoning model developed by MiniMax, featuring a hybrid Mixture-of-Experts (MoE) architecture with 456 billion total parameters (activating 45.9 billion per to

local-aiollama--x

12 Apr 2026

the most important abstraction in AI agents isnt the model — its the harness it orchestrates tools, memory, prompts. this is where all the a…

the most important abstraction in AI agents isnt the model — its the harness it orchestrates tools, memory, prompts. this is where all the alpha is deepagents is our take: built-in tools, memory, smar

agentsharrison-chase--x

12 Apr 2026

Local Ai

Does UI Preset = Base model??

local-air-stablediffusion

This Reddit thread from r/StableDiffusion addresses a common point of confusion among users of Stable Diffusion UIs (such as Stable Diffusion WebUI Forge) regarding whether selecting a 'UI Preset' is

11 Apr 2026

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning

arXiv:2604.08050v1 Announce Type: new Abstract: In this study, we focus on video captioning by fully open multimodal large language models (MLLMs). The comprehension of visual sequences is challenging

researcharxiv-cs-cv

Beyond the Mean: Modelling Annotation Distributions in Continuous Affect Prediction

arXiv:2604.07198v1 Announce Type: new Abstract: Emotion annotation is inherently subjective and cognitively demanding, producing signals that reflect diverse perceptions across annotators rather than

researcharxiv-cs-lg

DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs

arXiv:2604.06250v1 Announce Type: cross Abstract: When asked to describe a molecular diagram, a Vision-Language Model correctly identifies ``a benzene ring with an -OH group.'' When asked to reason ab

'Don't Do That!': Guiding Embodied Systems through Large Language Model-based Constraint Generation

arXiv:2506.04500v3 Announce Type: replace-cross Abstract: Recent advancements in large language models (LLMs) have spurred interest in robotic navigation that incorporates complex spatial, mathematica

researcharxiv-cs-ro

Hierarchical Feature Learning for Medical Point Clouds via State Space Model

arXiv:2504.13015v3 Announce Type: replace Abstract: Deep learning-based point cloud modeling has been widely investigated as an indispensable component of general shape analysis. Recently, transformer

researcharxiv-cs-cv

Learning is Forgetting: LLM Training As Lossy Compression

arXiv:2604.07569v1 Announce Type: cross Abstract: Despite the increasing prevalence of large language models (LLMs), we still have a limited understanding of how their representational spaces are stru

tutorialsarxiv-cs-cl

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

arXiv:2506.18841v3 Announce Type: replace-cross Abstract: Ultra-long generation by large language models (LLMs) is a widely demanded scenario, yet it remains a significant challenge due to their maxim

ODE-free Neural Flow Matching for One-Step Generative Modeling

arXiv:2604.06413v1 Announce Type: new Abstract: Diffusion and flow matching models generate samples by learning time-dependent vector fields whose integration transports noise to data, requiring tens

tutorialsarxiv-cs-lg

Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and LLMs

model-releasesarxiv-cs-cl

arXiv:2604.08003v1 Announce Type: cross Abstract: Integrating large language models (LLMs) into automatic speech recognition (ASR) has become a dominant paradigm. Although recent LLM-based ASR models

STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training

arXiv:2604.06836v2 Announce Type: new Abstract: Quantization is an effective way to reduce the memory cost of large-scale model training. However, most existing methods adopt fixed-precision policies,

researcharxiv-cs-lg

Visual prompting reimagined: The power of the Activation Prompts

model-releasesarxiv-cs-lg

arXiv:2604.06440v1 Announce Type: cross Abstract: Visual prompting (VP) has emerged as a popular method to repurpose pretrained vision models for adaptation to downstream tasks. Unlike conventional mo

Industry

Anthropic had the most powerful cyber-security model in the history of this world and their internal code based still leaked? We should assu…

Anthropic had the most powerful cyber-security model in the history of this world and their internal code based still leaked? We should assume everyone can be compromised, and build systems that keep

industryclem-delangue--x

8 Apr 2026

GLM-5.1 gives teams a stronger model for coding, tool use, and sustained agent performance on Together AI. Learn more: http://www.together.a…

GLM-5.1 is Z.ai's post-training upgrade to GLM-5, now available on Together AI, delivering a 28% coding performance improvement through a refined reinforcement learning pipeline while retaining the...

agentstogether-ai--x

8 Apr 2026

> which is exactly why we believe memory should live outside of model providers open harness = open memory which everyone should want!

> which is exactly why we believe memory should live outside of model providers open harness = open memory which everyone should want! The new Anthropic managed agents API is basically the Letta API t

agentsharrison-chase--x

8 Apr 2026

Introducing GLM-5.1 for understanding research papers 🚀 Highlight any section of a paper to ask questions and “@” other papers for quick co…

model-releaseszhipu-ai--x

AlphaXiv introduced GLM-5.1 as the underlying model powering its research paper understanding features on the alphaXiv platform, enabling users to highlight any section of a paper to ask contextual...

7 Apr 2026

b11712

model-releasesllama-cpp-releases

tests: give the random model generator a per-tensor filler table (#30674) tests: give the random model generator a per-tensor filler table Muse Spark makes test-llama-context fail on state_load, cp_h

17 Oct 2026

Classical methods for modern applications: synthetic tabular data generation using lightweight discrete response continuous latent variable model

arXiv:2610.21674v1 Announce Type: new Abstract: In this paper, we present a lightweight algorithm for modelling tabular data containing both continuous and discrete variables. The method uses empirica

researcharxiv-cs-lg

16 Oct 2026

Safety

CLIS-MPPI: Closed-Loop Model Predictive Path Integral Control With Initial-State Sampling Under Execution Delay

arXiv:2610.21239v1 Announce Type: new Abstract: Sampling-based motion planning such as Model Predictive Path Integral (MPPI) control has become attractive for robotics due to its ability to handle non

safetyarxiv-cs-ro

16 Oct 2026

Constrained Multi-Agent Reinforcement Learning in Imagination

arXiv:2610.21319v1 Announce Type: new Abstract: Predicting cost in a multi-agent world model moves most constrained policy updates into imagination: the stronger model-free baseline needs 10 to 20 tim