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Hardware

EGG: An Expert-Guided Agent Framework for Kernel Generation

DGX agent

arXiv:2606.26758v1 Announce Type: new Abstract: High-performance GPU kernels are critical for reducing the exponentially growing computational costs of large language models (LLMs), but their developm

hardwarearxiv-cs-ai

26 Jun 2026

Research

Einstein World Models

DGX agent

arXiv:2606.26969v1 Announce Type: new Abstract: Does intelligence require the ability to reason about phenomena beyond direct experience? It is natural to suspect that some complex thought cannot be c

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EGG: An Expert-Guided Agent Framework for Kernel Generation

Einstein World Models

EMA-FS: Accelerating GBDT Training via Gain-Informed Feature Screening

Embarrassingly Simple Self-Distillation Improves Code Generation

Embedding Foundation Model Predictions in Discrete-Choice Models with Structural Guarantees

Empirical Software Engineering TerraProbe: A Layered-Oracle Framework for Detecting Deceptive Fixes in LLM-Assisted Terraform

Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning

Enabling self-supervised learned primal dual with Noise2Inverse

EndoUFM: Utilizing Foundation Models for Monocular depth estimation of endoscopic images

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting

Epiphany-Aware KV Cache Eviction Without the Attention Matrix

Equivariance and Augmentation for Bayesian Neural Networks

Erase-then-Delta Attention: Decoupling Erase and Write Addresses in Delta-Rule Linear Attention

Error-Conditioned Neural Solvers

Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork

Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network

Estimating Uncertainty in Classifier Performance with Applications to Large Language Models and Nested Data

Evaluation Pitfalls and Challenges in Multimedia Event Extraction

Evaluation-Strategy Gap in Fault Diagnosis of Deep Learning Programs

Event-Aware Instructed Assistant for Referring Video Segmentation

Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games

EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory

EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning

EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling

Exact and Deterministic Patch Descriptor Retrieval via Hierarchical Normalization

Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

Explaining Temporal Graph Neural Networks via Feature-induced Information Flow

Exploring the Intrinsic Geometry of Diffusion Models with Constrained Inverse Kinematics

Extracting Neural Materials from Multi-view Images

Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization

extsc{DiARC}: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models

Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors

Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity

Fast LeWorldModel

FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following

FC-Vision: Real-Time Visibility-Aware Replanning for Occlusion-Free Aerial Target Structure Scanning in Unknown Environments

Federated Hash Projected Latent Factor Learning

Finding Stationary Points by Comparisons

Finding the Time to Think: Learning Planning Budgets in Real-Time RL

FlameVQA: A Physically-Grounded UAV Wildfire VQA Benchmark with Radiometric Thermal Supervision

Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE

Forecasting With LLMs: Improved Generalization Through Feature Steering

ForesightSafety-VLA: A Unified Diagnostic Safety Benchmark for Vision-Language-Action Models

Forget, Anticipate and Adapt: Test Time Training for Long Videos

Fortress and Gatekeeper: Theorizing Transitive Trust in Third-Party Cybersecurity Risk Governance

FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics

From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan

From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations