Method

Diffusion Transformer

Diffusion Transformer is an advanced artificial intelligence system that learns to process human language by being trained on vast amounts of text data.

Papers Using
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20 papers
Detecting Differences Is Not Understanding Structure: Large Language Models Fail at Graph Isomorphism

Detecting Differences Is Not Understanding Structure: Large Language Models Fail at Graph Isomorphism

Sukumar Kishanthan, Kumar Thushalika, Asela Hevapathige• 2026

Diffusion Transformer
★ 68
Rethinking LoRA Memory Through the Lens of KV Cache Compression

Rethinking LoRA Memory Through the Lens of KV Cache Compression

Benjamin Van Durme, Liaoyaqi Wang, William Jurayj et al.• 2026

Diffusion Transformer
★ 114
Securing Self-supervised Data Curation for Foundation Models Robustness

Securing Self-supervised Data Curation for Foundation Models Robustness

Roberto Passerone, Sandeep Gupta• 2026

Diffusion Transformer
★ 159
From Script to Semantics: Prompting Strategies for African NLI

From Script to Semantics: Prompting Strategies for African NLI

Anuj Tiwari, Hannah Nwokocha, Terry Oko-odion• 2026

Diffusion Transformer
★ 145
Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact

Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact

Jelena Meyer, David Garcia, Dirk U. Wulff• 2026

Diffusion Transformer
★ 112
REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation

REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation

Marelie H. Davel, Albert Helberg, Simbarashe Aldrin Ngorima• 2026

Diffusion Transformer
★ 168
JOIN: Anchor-Grasp-Conditioned Joining via Opposition, Inference, and Navigation for Bimanual Assistive Manipulation

JOIN: Anchor-Grasp-Conditioned Joining via Opposition, Inference, and Navigation for Bimanual Assistive Manipulation

Matt Cheng, Taşkın Padır, Xiang Zhi Tan et al.• 2026

Diffusion Transformer
★ 182
BELDE: Building a Large-scale Earth-observation Land-cover Dataset for Europe

BELDE: Building a Large-scale Earth-observation Land-cover Dataset for Europe

Ümit Mert Çağlar, Alptekin Temizel• 2026

Diffusion Transformer
★ 202
From Statute to Control Flow: Span-Grounded Deontic Trees for Defeasible Scope Parsing

From Statute to Control Flow: Span-Grounded Deontic Trees for Defeasible Scope Parsing

Jian Chen, Chucheng Wan, Zixuan Yuan et al.• 2026

Diffusion Transformer
★ 73
Y-BotFrame: An Extensible Embodied Agent Framework for Quadruped Robot Assistants

Y-BotFrame: An Extensible Embodied Agent Framework for Quadruped Robot Assistants

Gang Liu, Di Wang, Fuyu Dong et al.• 2026

Diffusion Transformer
★ 146
MamBOA: State-Space Architecture for Video Recognition

MamBOA: State-Space Architecture for Video Recognition

Mustafa Bora Çelik• 2026

Diffusion Transformer
★ 203
Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks

Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks

Michael Shields, Cornelius Otchere• 2026

Diffusion Transformer
★ 55
AdaSTORM: Scaling LLM Reasoning on Dynamic Graphs via Adaptive Spatio-Temporal Multi-Agent Collaboration

AdaSTORM: Scaling LLM Reasoning on Dynamic Graphs via Adaptive Spatio-Temporal Multi-Agent Collaboration

Haodong Qian, Jianxin Li, Ruijie Wang et al.• 2026

Diffusion Transformer
★ 22
$p$-adic Bi-Filtrations for Topological Machine Learning on Genomic Sequences

$p$-adic Bi-Filtrations for Topological Machine Learning on Genomic Sequences

Tirtharaj Dash, Gunja Sachdeva• 2026

Diffusion Transformer
★ 56
Which Directions Matter? Sparse Design for Affine Robust Optimization

Which Directions Matter? Sparse Design for Affine Robust Optimization

My Duong, Kaixun Hua, Juan S. Borrero et al.• 2026

Diffusion Transformer
★ 192
Reconstructing GRACE Terrestrial Water Storage with Spatio-Temporal Graph Neural Networks: An Application to South America

Reconstructing GRACE Terrestrial Water Storage with Spatio-Temporal Graph Neural Networks: An Application to South America

Klara Middendorf, Lukas Arzoumanidis, Youness Dehbi et al.• 2026

Diffusion Transformer
★ 194
Overcoming Rank Collapse in Feedback Alignment

Overcoming Rank Collapse in Feedback Alignment

Gauthier Boeshertz, Razvan Pascanu, Claudia Clopath• 2026

Diffusion Transformer
★ 106
A Theory on Flow Matching with Neural Networks

A Theory on Flow Matching with Neural Networks

Yuan Cao, Yihan He, Qishuo Yin et al.• 2026

Diffusion Transformer
★ 145
AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions

AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions

Chenglin Yang• 2026

Diffusion Transformer
★ 159
Simulation-Augmented Multi-Step Split Conformal Prediction for Aggregated Forecasts

Simulation-Augmented Multi-Step Split Conformal Prediction for Aggregated Forecasts

Andro Sabashvili• 2026

Diffusion Transformer
★ 167