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ERNIE-Image Technical Report

DGX agent

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 th

model-releasesarxiv-cs-lg

26 May 2026

Research

Estimating Mixture Distributions via Stochastic Mirror Descent

DGX agent

arXiv:2605.24929v1 Announce Type: cross Abstract: We revisit the classical problem of estimating an unknown distribution from its samples by fitting a mixture model that minimizes cross-entropy loss.

All entries

ERNIE-Image Technical Report

Estimating Mixture Distributions via Stochastic Mirror Descent

Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture

Evaluating passing decision-making in professional football: An enhanced MPNN approach to Receiver Selection

Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution

Evidence-Linked Radiology Reporting: A Human-Supervised Reference Architecture for Structured Imaging Intelligence

Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS

EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions

EvoEGF-Mol: Evolving Exponential Geodesic Flow for Structure-based Drug Design

Evolutionary Enhanced Multi-Agent Reinforcement Learning for Cooperative Air Combat

Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction

Evolving Causal Regulatory Networks (ECR-Net)

Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs

EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery

EXOTIC: An Exact, Optimistic, Tree-Based Algorithm for Min-Max Optimization

Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection

Explainable Multi-Task Retinal Imaging Reveals Microvascular Signals for Systemic Risk Stratification in Type 2 Diabetes: A Pilot Study

Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes

Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition

ExplainReduce: Generating global explanations from many local explanations

Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care

Explore Before You Solve: The Speed--Depth Trade-off in Epistemic Agents for ARC-AGI-3

Exploring Profiles of Cognitive Distortions Associated with Mental Health Disorders

EXPO-FT: Sample-Efficient Reinforcement Learning Finetuning for Vision-Language-Action Models

Extending Embodied Question Answering from Perception to Decision

Extracting Training Data from Diffusion Language Models via Infilling

Extreme Region Policy Distillation

Extreme-value forest fire prediction A study of the Loss Function in an Ordinality Scheme

F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare

Factored Latent Action World Models

Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting

FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models

Faithful or Fabricated? A Causal Framework for Rationalization Bias in LLM Judges

Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning

Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth

False Fixed Points: Kantian Feedback, Stable Miscalibration, and Representational Compression in LLMs

Feature Learning in Wide Neural Networks under muP: Identifiability and Sparse-Dictionary Decomposition of the Mean-Field Limit

Feature Lottery? A Bifurcation Theory of Concept Emergence

Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers

Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette

Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs

Fermi-Dirac machines as quantizations of neurons

Few-Shot Neural Differentiable Simulator: Real-to-Sim Rigid-Contact Modeling

FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model

Filtered Posterior Mean Collections: A Unified Framework for Analytical Models of Diffusion Generalization

Fine-Tuning and Serving Gemma 4 31B on Google Cloud TPU: A Technical Comparison with GPU Baselines

Fine-Tuning Language Models to Know What They Know