Papers
RADAR: A Reasoning-Guided Attribution Framework for Explainable Visual Data Analysis
Anku Rani, Aparna Garimella, Apoorv Saxena et al.
Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds (Abstract Reprint)
Matthias Zeller, Vardeep Singh Sandhu, Benedikt Mersch et al.
RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-wave Point Cloud Sequence
Zengyuan Lai, Jiarui Yang, Songpengcheng Xia et al.
RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving
Ruiqi Cheng, Huijun Di, Jian Li et al.
RADAR: Risk-Aware Distilled Adaptive Routing for Efficient Short-Form Video Platform Ecosystem Governance
Baoyu Jing, Zixuan Wang, Junwen Chen et al.
Rademacher Complexity for Distributionally Robust Learning
Zhengyu Zhou, Weiwei Liu
Rad-Flamingo: A Multimodal Prompt driven Radiology Report Generation Framework with Patient-Centric Explanations
Md. Tousin Akhter, Devansh Lalwani, Kshitij Sharad Jadhav et al.
RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
Léo Butsanets, Charles Corbière, Julien Khlaut et al.
RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes Domains
Zhijie Tan, Xu Chu, Guanyu Wang et al.
RadVLM-GRPO: Enhancing Chest X-ray Report Generation and Visual Grounding via Reinforcement Learning
Benjamin Gundersen, Nicolas Deperrois, Samuel Ruiperez-Campillo et al.
RAFFLES: Reasoning-based Attribution of Faults for LLM Systems
Chenyang Zhu, Spencer Hong, Jingyu Wu et al.
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
Run Ling, Wenji Wang, Yuting Liu et al.
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali et al.
RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation
Qinfeng Li, Miao Pan, Ke Xiong et al.
RAG-on-a-Diet: A Reinforcement Learning-Based Dynamic Resource Optimization Framework for RAG
Hongwen Ding, Yizheng Zhao
RAGPPI: Retrieval-Augmented Generation Benchmark for Protein–Protein Interactions in Drug Discovery
Youngseung Jeon, Ziwen Li, Thomas Li et al.
RAG-R1:Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism
Zhiwen Tan, Jiaming Huang, Qintong Wu et al.
RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
Süha Kağan Köse, Mehmet Can Baytekin, Burak Aktaş et al.
RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation
Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald
RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking
Yehan Sun, Rongrong Ni, Chuangchuang Tan et al.
RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion
Ruijie Zhang, Bixin Zeng, Shengpeng Wang et al.
RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds
Jingyun Fu, Zhiyu Xiang, Na Zhao
RampWatch: An In-the-Wild Dataset and Text-Guided Detection Framework for Recreational Vessels
Malik Muhammad Asim, Claire B. Smallwood, Abdullah Tariq et al.
RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
Ziyang Zhou, Ziqi Liu, Yan Wang et al.
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability
Yao Deng, Xiang Xiang, Jiaqi Gui