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Applications

QDSB: Quantized Diffusion Schrodinger Bridges

DGX agent

arXiv:2605.11983v1 Announce Type: new Abstract: Learning generative models in settings where the source and target distributions are only specified through unpaired samples is gaining in importance. H

applicationsarxiv-cs-lg

13 May 2026

Research

Quantifying Rodda and Graham Gait Classification from 3D Makerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort

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QDSB: Quantized Diffusion Schrodinger Bridges

Quantifying Rodda and Graham Gait Classification from 3D Makerless Kinematics derived from a Single-view Video in a Heterogeneous Pediatric Clinical Cohort

Quantifying the Reconstructability of Astrophysical Methods with Large Language Models and Information Theory: A Case Study in Spectral Reconstruction

Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring

QuIDE: Mastering the Quantized Intelligence Trade-off via Active Optimization

Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning

Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing

Rainbow Deep Q-Learning with Kinematics-Aware Design for Cooperative Delta and 3-RRS Parallel Robot Insertion

Random-Set Graph Neural Networks

Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking

Ray-Aware Pointer Memory with Adaptive Updates for Streaming 3D Reconstruction

Read, Extract, Classify: A Tool for Smarter Requirements Engineering

READ: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling

ReAD: Reinforcement-Guided Capability Distillation for Large Language Models

Real-Scale Island Area and Coastline Estimation using Only its Place Name or Coordinates

Real-Time Whole-Body Teleoperation of a Humanoid Robot Using IMU-Based Motion Capture with Sim2Sim and Sim2Real Validation

RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation

ReasonEdit: Editing Vision-Language Models using Human Reasoning

Reconsidering the energy efficiency of spiking neural networks

Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis

Reconstruction of Personally Identifiable Information from Supervised Finetuned Models

Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting

Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion

REFNet++: Multi-Task Efficient Fusion of Camera and Radar Sensor Data in Bird's-Eye Polar View

Regret minimization in Linear Bandits with offline data via extended D-optimal exploration

Remarks on stochastic cloning and delayed-state filtering

Resilient Vision-Tabular Multimodal Learning under Modality Missingness

Rethink the Role of Neural Decoders in Quantum Error Correction

Rethinking external validation for the target population: Capturing patient-level similarity with a generative model

Rethinking LLMOps for Fraud and AML: Building a Compliance-Grade LLM Serving Stack

RETUYT-INCO at BEA 2026 Shared Task 2: Meta-prompting in Rubric-based Scoring for German

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition

ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction

Revisiting GAN with Bayes-Optimal Discrimination

Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction

Revisiting Shadow Detection from a Vision-Language Perspective

Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning

RIO: Flexible Real-Time Robot I/O for Cross-Embodiment Robot Learning

RNA-FM: Flow-Matching Generative Model for Genome-wide RNA-Seq Prediction

RoboBlockly Studio: Conversational Block Programming with Embodied Robot Feedback for Computational Thinking

Robust Biomedical Publication Type and Study Design Classification with Knowledge-Guided Perturbations

Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter

Robust Multi-Agent Path Finding under Observation Attacks: A Principled Adversarial-Plus-Smoothing Training Recipe

Robust Policy Optimization to Prevent Catastrophic Forgetting

Robust Promptable Video Object Segmentation

Robustness Certificates for Neural Networks against Adversarial Attacks