Papers
R1-RE: Cross-Domain Relation Extraction with RLVR
Runpeng Dai, Tong Zheng, Run Yang et al.
R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression
Fangzhe Nan, Frederick W. B. Li, Gary K. L. Tam et al.
R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling
Aijia Cheng, Kailong Wang, Ling Shi et al.
ℛ3: Advertisement Compliance ℛectification via Group-ℛelative Experience Extractor and Curriculum ℛeinforcement
Yuan Chen, Zhenyu Hu, Mengge Xue et al.
R^3AG: Retriever Routing for Retrieval-Augmented Generation
Tong Zhao, Yutao Zhu, Yucheng Tian et al.
R³A: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms
Xiaowei Yuan, Lei Jin, Haoxin Zhang et al.
R3: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning
YiFei Wang, Qizhi Pei, Jiangtao Feng et al.
R3: Reconstruction, Raw, and Rain: Deraining Directly in the Bayer Domain
Nate Rothschild, Moshe Kimhi, Avi Mendelson et al.
RAA: Achieving Interactive Remove/Add Anything via Fully Synthetic Data
Delong Liu, Haotian Hou, Zhaohui Hou et al.
RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection
Longlong Zhang, Xi Wang, Haotong Du et al.
RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise
Shihao Dong, Yue Liu, Xiaotong Zhou et al.
RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis
Linfeng Dong, Yuchen Yang, Hao Wu et al.
RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability
Kaitong Cai, Jusheng Zhang, Yijia Fan et al.
RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows
Kai Zhang, Corey D Barrett, Jangwon Kim et al.
Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast
Ying Wang, Zhaodong Sun, Xu Cheng et al.
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.