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Tutorials

LT2: Linear-Time Looped Transformers

DGX agent

arXiv:2605.20670v1 Announce Type: new Abstract: Looped Transformers (LT) have emerged as a powerful architecture by iterating their layers multiple times before decoding the final token. However, pair

tutorialsarxiv-cs-lg

21 May 2026

Local Ai

LTX 2.3 + LTX Director is a Huge improvement

DGX agent

LTX-2.3 is a multimodal video generation model developed by Lightricks that generates synchronized audio and video in a single forward pass at resolutions up to 4K at 50 frames per second. The model i

Search: “models”

LT2: Linear-Time Looped Transformers

LTX 2.3 + LTX Director is a Huge improvement

Markovian Circuit Tracing for Transformer State Dynamic

Modality-Decoupled Online Recursive Editing

Modular Multimodal Classification Without Fine-Tuning: A Simple Compositional Approach

RadProPoser: Probabilistic Radar Tensor Human Pose Estimation That Knows Its Limits

Reinforcing Human Behavior Simulation via Verbal Feedback

Resolving Long-Tail Ambiguity in Unsupervised 3D Point Cloud Segmentation with Language Priors

Reviving Error Correction in Modern Deep Time-Series Forecasting

Runtime-Certified Bounded-Error Quantized Attention

Semantic Granularity Navigation in Image Editing

SR-Ground: Image Quality Grounding for Super-Resolved Content

Strategy-Induct: Task-Level Strategy Induction for Instruction Generation

The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?

The General Theory of Localization Methods

This is the way

Training Language Agents to Learn from Experience

VDFP: Video Deflickering with Flicker-banding Priors

WCXB: A Multi-Type Web Content Extraction Benchmark

What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation

When Irregularity Helps: A Subclass Analysis of Inductive Bias in Neural Morphology

A Framework for Evaluating Zero-Shot Image Generation in Concept-based Explainability

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents

A Two-Parameter Weibull Framework for Diagnosing Transformer Weight Distributions

Adaptive Power Iteration Method for Differentially Private PCA

Agent Meltdowns: The Road to Hell Is Paved with Helpful Agents

Backtracking When It Strays: Mitigating Dual Exposure Biases in LLM Reasoning Distillation

BERTO: Intent-Driven Network Time Series Forecasting via Natural Language Operator Preferences

BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics

CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition

Distance-Aware Muon: Adaptive Step Scaling for Normalized Optimization

Do Better Volatility Forecasts Lead to Better Portfolios? Evidence from Graph Neural Networks

Dual-Prompt CLIP with Hybrid Visual Encoders for Occluded Person Re-Identification

DualView: Adaptive Local-Global Fusion for Multi-Hop Document Reranking

Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture

From Sparsity to Simplicity: Enabling Simpler Sequential Replacements via Sparse Attention Distillation

GEM: GPU-Variability-Aware Expert to GPU Mapping for MoE Systems

Generative Recursive Reasoning

Hard-Label Black-Box Attacks on 3D Point Clouds

HiLiftAeroML: High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics

How do LLMs Compute Verbal Confidence

INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification

it’s in gemini, just create it in ai studio. oh, that’s for your personal google one account. for workspace you need gemini business. no, no…

Learning Efficient Guardrails for Compliance

Learning When to Adapt

Memory-Augmented Reinforcement Learning Agent for CAD Generation

Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs

NGL: Natural Garment Language for Training-Free Sewing Pattern Estimation