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Research

RadFusion: Towards Threshold-Controllable Radiology Report Generation

DGX agent

arXiv:2608.10505v1 Announce Type: new Abstract: Automated radiology report generation is advancing rapidly in response to the shortage of radiologists, yet unlike a perception model, existing generati

researcharxiv-cs-ai

12 Aug 2026

Local Ai

RAG for regular users?

DGX agent

One of the reasons I got into local LLMs was the possibility of getting answers using my own documents and books (a few hundreds) instead of having to search through them manually. However since I'm n

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RadFusion: Towards Threshold-Controllable Radiology Report Generation

RAG for regular users?

Rationale-Guided Learning for Multimodal Emotion Recognition

Real-World Cooperative Bimanual Dexterous Grasp of Large Objects from Single-View Observations

REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs

Reasoning Shortcuts and Value Symmetries: What Symmetry Permits, Architecture Realizes, and Optimization Selects

REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting

ReCBM: Uncertainty-Gated Relational Reasoning for Concept Bottleneck Models

Reconfiguration of pivoting cube ensembles under local sensing constraints using geometric deep learning

Recovering Wasted Compute in Autoresearch Agents

REDAgentBench: Executable Red Teaming and Faithful Measurement of LLM Agent Systems

Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation

Regression and Classification with Single-Qubit Quantum Neural Networks

Reinforcement Learning-Based Laser Cutting Machine Parameter Optimization

Reinforcement Learning-based Semi-supervised Knowledge Distillation with LLM-as-a-Judge

ReLTEx: Reliable LLM-based Taxonomy Expansion

ReOrder-OPD:Reliability-Aware Prompt Ordering for On-Policy Distillation

ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization

Rescene: band-limited stochastic forcing turns a frozen neural weather operator into a climate emulator

Rethinking Data Efficiency in Industrial Dense Prediction: Pretraining Coherence, Not Inductive Bias, Determines ViTs Low-Data Advantage

Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective Refinement

Rethinking Text-Based Image Retrieval in Specific Domain

Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets

Retrieval-Corrected Conformal Prediction for Time Series

Riemann GeoResolver: A Non-Euclidean Attention Framework from Euclidean Resolver to Hyperbolic-Spherical Geometry

Risk-Averse Wasserstein Distributionally Robust Online Learning

Risk-Aware Kinodynamic Motion Planning Under Uncertainty For Safe Navigation on Planetary Environments

RLMOpt: Adaptive Prompt Optimization via Recursive Language Models

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign

Robust Multi-Agent Bandits with Heavy-Tailed Rewards and Information Asymmetry

Robust Safety Filtering for Input-Constrained Underactuated Linear Systems

Robust Sliding Mode and Admittance Control of Underactuated Aerial Manipulators for Contact-Based Inspection

Robustness of transferability estimation metrics for medical imaging

RTSKG: Building a Rail Transit Station Knowledge Graph Dataset

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information

SafeCA: Safe Cross-Attention Localization and Regulation for Text-to-Video Jailbreak Defense

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning

SapiensID 2.0: Aligning Human Recognition Foundation Models with Human Perception

SAR2Agri: Learning SAR Intensity Representations for Agricultural Monitoring

SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents

Scaling AI agents with trustworthy data

SceneNAT: Masked Generative Modeling for Language-Guided Indoor Scene Synthesis

Scheduling Mixed RL Rollouts Beyond Prefix Locality

SCOUT: Symmetric Consensus Outlier Detection for Failure Localization in LLM Pre-Training

Seeds Before Objectives: Rethinking Evaluation for Low-Resource Garhwali ASR

Seeing above the waves: A modular sensing framework for data acquisition at sea

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks

SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks