·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents1h◆SUNTA: Hierarchical Video Prediction with Surprise-based Chunking1h◆LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making1h◆Research on Cross-media Science and Technology Information Data Retrieval1h◆Research on Intellectual Property Resource Profile and Evolution Law1h◆Profiling and Evolution of Intellectual Property1h◆HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA1h◆Constrained Reinforcement Learning for Safe Heat Pump Control1h◆Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs1h◆Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization1h◆Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers1h◆Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning1h◆On the Necessity of Output Distribution Reweighting for Effective Class Unlearning1h◆Can Argus Judge Them All? Comparing VLMs Across Domains1h◆Interaction Techniques that Encourage Longer Prompts Can Improve Psychological Ownership when Writing with AI1h◆SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks1h◆CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search1h◆Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs1h◆Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts1h◆PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains1h◆Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents1h◆SUNTA: Hierarchical Video Prediction with Surprise-based Chunking1h◆LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making1h◆Research on Cross-media Science and Technology Information Data Retrieval1h◆Research on Intellectual Property Resource Profile and Evolution Law1h◆Profiling and Evolution of Intellectual Property1h◆HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA1h◆Constrained Reinforcement Learning for Safe Heat Pump Control1h◆Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs1h◆Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization1h◆Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers1h◆Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning1h◆On the Necessity of Output Distribution Reweighting for Effective Class Unlearning1h◆Can Argus Judge Them All? Comparing VLMs Across Domains1h◆Interaction Techniques that Encourage Longer Prompts Can Improve Psychological Ownership when Writing with AI1h◆SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks1h◆CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search1h◆Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs1h◆Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts1h◆PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains1h◆
News/Post-Training Pruning for Diffusion Transformers
arxiv
PublishedJuly 2, 2026 at 4:00 AM
—neutral

Post-Training Pruning for Diffusion Transformers

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.00927v1 Announce Type: cross Abstract: Diffusion Transformers (DiTs) have demonstrated impressive performance in image generation but suffer from substantial computational overhead and resource consumption. Post-training pruning offers a promising solution; however, due to DiTs' unique ar

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivReason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents1harxivSUNTA: Hierarchical Video Prediction with Surprise-based Chunking1harxivLongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making1harxivResearch on Cross-media Science and Technology Information Data Retrieval1h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews