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Search: “framework”

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Research

Riemannian MeanFlow

DGX agent

arXiv:2602.07744v3 Announce Type: replace Abstract: Diffusion and flow models have become the dominant paradigm for generative modeling on Riemannian manifolds, with successful applications in protein

researcharxiv-cs-lg

4 May 2026

Research

ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping

DGX agent

Search: “framework”

Riemannian MeanFlow

ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping

SC-Taxo: Hierarchical Taxonomy Generation under Semantic Consistency Constraints using Large Language Models

Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks

Scaling Video Understanding via Compact Latent Multi-Agent Collaboration

SCAN: Structured Capability Assessment and Navigation for LLMs

Semantic Level of Detail for Knowledge Graphs: Discovering Abstraction Boundaries via Spectral Heat Diffusion

Short Chains, Deep Thoughts: Balancing Reasoning Efficiency and Intra-Segment Capability via Split-Merge Optimization

SIMON: Saliency-aware Integrative Multi-view Object-centric Neural Decoding

SketchGuard: Scaling Byzantine-Robust Decentralized Federated Learning via Sketch-Based Screening

Soft Graph Diffusion Transformer for MIMO Detection

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting

Stepper: Stepwise Immersive Scene Generation with Multiview Panoramas

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation

Structure Liberates: How Constrained Sensemaking Produces More Novel Research Output

Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue

SynQuE: Estimating Synthetic Dataset Quality Without Annotations

Task-Conditioned Uncertainty Costmaps for Legged Locomotion

Thinking in Text and Images: Interleaved Vision--Language Reasoning Traces for Long-Horizon Robot Manipulation

Thinking with Geometry: Active Geometry Integration for Spatial Reasoning

Time-series Meets Complex Motion Modeling: Robust and Computational-effective Motion Predictor for Multi-object Tracking

ToolGrad: Efficient Tool-use Dataset Generation with Textual 'Gradients'

TURBOTEST: Learning When Less is Enough through Early Termination of Internet Speed Tests

Uncertainty Modeling for Multi-Objective RTA Interception with Distillation Acceleration

Understanding Cognitive States from Head & Hand Motion Data

Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning

Unpaired Image Deraining Using Reward-Guided Self-Reinforcement Strategy

VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding

VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation

Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback

'What Are You Really Trying to Do?': Co-Creating Life Goals from Everyday Computer Use

What Physics do Data-Driven MoCap-to-Radar Models Learn?

When Do Diffusion Models learn to Generate Multiple Objects?

WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery

A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics

A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

A Reproducibility Study of LLM-Based Query Reformulation

AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs

AesRM: Improving Video Aesthetics with Expert-Level Feedback

Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems

Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents

AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI

An adaptive wavelet-based PINN for problems with localized high-magnitude source

ANCORA: Learning to Question via Manifold-Anchored Self-Play for Verifiable Reasoning