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Research

DODO: Discrete OCR Diffusion Models

DGX agent

arXiv:2602.16872v2 Announce Type: replace Abstract: Optical Character Recognition (OCR) is a fundamental task for digitizing information, serving as a critical bridge between visual data and textual u

researcharxiv-cs-cv

28 May 2026

Research

Domain size asymptotics for Markov logic networks

DGX agent

arXiv:2509.04192v2 Announce Type: replace Abstract: A Markov logic network (MLN) M determines a probability distribution P_n^M on the set mathbf{W}_n of structures, or ``possible worlds'', with domain

All entries

DODO: Discrete OCR Diffusion Models

Domain size asymptotics for Markov logic networks

Dr-CiK: A Testbed for Foresight-Driven Agents

DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution

DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving

DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation

DSSE: a drone swarm search environment

Dual-branch Distilled Transformer for Efficient Asymmetric UAV Tracking

Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation

DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents

E^3-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference

EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling

EAPO: Entropy-Driven Adaptive Positive-Negative Sample Weighting for Policy Optimization in Open-Ended QA

ECHO: Entropy-Confidence Hybrid Optimization for Test-Time Reinforcement Learning

EchoAvatar: Real-time Generative Avatar Animation from Audio Streams

Efficient and Scalable Provenance Tracking for LLM-Generated Code Snippets

Efficient Post-training of LLMs for Code Generation With Offline Reinforcement Learning

Efficient Pre-Training of LLMs through Truncated SVD Layers

EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents

EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Rendering

EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction

EIT-Pneumatic Hybrid Robotic Skin for Practical and Accurate Force Map Reconstruction

Eliot: Interactively nderline{E}xploring Fast-Changing Scientific nderline{Li}terature Trends with nderline{O}nline Danderline{t}a and Learning

Emerging Extrinsic Dexterity in Cluttered Scenes via Dynamics-aware Policy Learning

Energy-Structured Low-Rank Adaptation for Continual Learning

Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning

Enhancing Ultra-low-field MRI with Segmentation-guided Adversarial Learning

EntroAD: Structural Entropy-Guided Prompt Adaptation for Zero-Shot Anomaly Detection

Entropy-aware Masking for Masked Language Modeling

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models

ESC-Skills: Discovering and Self-Evolving Skills for Emotional Support Conversations

Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection

Evaluating Local Explainability Metrics for Machine Learning Models on Tabular Data

Evaluating the Feasibility of Inferring Dietary Behavior Change Receptivity from Egocentric Images of Eating Environment

Evaluating the Generation Capabilities of Large Chinese Language Models

Evaluating the Realism of LLM-powered Social Agents: A Case Study of Reactions to Spanish Online News

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study

Event-based Motion & Appearance Fusion for 6D Object Pose Tracking

EventShiftFlow: Towards Hardware-efficient FPGA-based Flow Estimation

Every9D-21M: Large-Scale Real-World 9D Canonicalization of Everyday Objects

Evolving and Detecting Multi-Turn Deception using Geometric Signatures

EvoSpec: Evolving Speculative Decoding via Real-Time Vocabulary and Parameter AdaptationTarget

Examining Agents' Bias Amplification versus Suppression in Multi-Agent Systems

Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State

Explaining Digital Pathology Models via Clustering Activations

Explaining is Harder Than Predicting Alone: Evaluating Concept-based Explanations of MLLMs as ICL Visual Classifiers

Explanation Generation for Contradiction Reconciliation with LLMs