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Google releases three new Gemini models — but no 3.5 Pro58m◆Introducing the ChatGPT for small business program1h◆Anthropic’s $1.5 billion book piracy settlement approved by judge1h◆US threatens sanctions against Chinese AI models over IP theft2h◆Google launches a cheaper alternative to large AI security models like Mythos3h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated4h◆Halliday’s latest smart glasses feature a much-improved display5h◆America needs to stop getting shocked by Chinese AI7h◆Advancing next-gen AI with materials science innovation7h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else8h◆Capacity and Redundancy Trade-offs in Multi-Task Learning14h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation14h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making14h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection14h◆Supervised Reward Inference14h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization14h◆Is Progressive Disclosure All You Need for Long-Context Agents?14h◆It Depends on the Dataset: When a Brain-Encoding Model's Predicted Responses Beat Their Visual Backbone for Video Memorability14h◆DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification14h◆Oracle Gap and Signal Fidelity: A Fixed-Pool Diagnostic for Test-Time Collaboration14h◆Google releases three new Gemini models — but no 3.5 Pro58m◆Introducing the ChatGPT for small business program1h◆Anthropic’s $1.5 billion book piracy settlement approved by judge1h◆US threatens sanctions against Chinese AI models over IP theft2h◆Google launches a cheaper alternative to large AI security models like Mythos3h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated4h◆Halliday’s latest smart glasses feature a much-improved display5h◆America needs to stop getting shocked by Chinese AI7h◆Advancing next-gen AI with materials science innovation7h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else8h◆Capacity and Redundancy Trade-offs in Multi-Task Learning14h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation14h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making14h◆Did We Actually Fix It? An Independent Adversarial Stress-Test of Post-Point-Adjustment Evaluation Metrics for Time-Series Anomaly Detection14h◆Supervised Reward Inference14h◆PPO-HSC: An Exploratory Reinforcement Learning Framework Based on Wide-Area Policy Coverage Optimization14h◆Is Progressive Disclosure All You Need for Long-Context Agents?14h◆It Depends on the Dataset: When a Brain-Encoding Model's Predicted Responses Beat Their Visual Backbone for Video Memorability14h◆DMFNet: Dual-Backbone Multiscale Fusion Network for Urban Scene Classification14h◆Oracle Gap and Signal Fidelity: A Fixed-Pool Diagnostic for Test-Time Collaboration14h◆
News/model/ERNIE-Image

ERNIE-Image news

2 articles mentioning ERNIE-Image

arxivMay 26

ERNIE-Image Technical Report

arXiv:2605.25347v1 Announce Type: cross Abstract: We introduce ERNIE-Image, an open-source text-to-image generation model built upon an 8B single-stream DiT architecture. ERNIE-Image aims to bridge the gap between current open-source models and leading closed-source systems through more effective mi

arxivJun 16

Vernier: Probing Representational Misalignment Behind Lexical Gaps in Causal Reasoning

arXiv:2606.15733v1 Announce Type: cross Abstract: Instruction-tuned language models can answer the same causal-reasoning question differently after its English variable names are replaced by type-preserving placeholders, although the structural causal model and the gold answer are unchanged. We ask

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