Papers
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations
Larkin Liu, Kashif Rasul, Yutong Chao et al.
Right at My Level: A Unified Multilingual Framework for Proficiency-Aware Text Simplification
Jinhong Jeong, Junghun Park, Youngjae Yu
Right Branches Matter in Failure-based Variable Ordering Heuristics
Yang Zhang, Hongbo Li
Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation
Mayank Vatsa, Aparna Bharati, Richa Singh
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
Jieting Wang, Xiaolei Shang, Feijiang Li et al.
RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning
Xiang Gao, Yuguang Yao, Qi Zhang et al.
RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting
Meng Wan, Qi Su, Zhixin Xia et al.
Ripple Shapley: Data Influence Attribution in One Federated Training Run
Dewen Zeng, Wenlong Tian, Haozhao Wang et al.
RISK: A Framework for GUI Agents in E-commerce Risk Management
Renqi Chen, Zeyin Tao, Jianming Guo et al.
Risk Atlas Nexus: A System for Managing AI Risks
Inge Vejsbjerg, Rahul Nair, Elizabeth M. Daly et al.
Risk-Aware Bilingual Spoken Dialogue for Campus Mental Health Support
You-Teng Lin, Li-Yang Zhang, Yi-Tang Chen et al.
RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems
Yu Jiang, Wenjie Wang, Yue Huang et al.
Risk-Sensitive Exponential Actor Critic
Alonso Granados, Jason Pacheco
RIS-LAD: A Benchmark and Model for Referring Image Segmentation in Low-Altitude Drone Imagery
Kai Ye, YingShi Luan, Zhudi Chen et al.
River-LLM: Large Language Model Seamless Exit Based on KV Share
Yingtao Shen, An Zou
RiverScope: High-Resolution River Masking Dataset
Rangel Daroya, Taylor Rowley, Jonathan Acero Flores et al.
RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning
Shicheng Xu, Liang Pang, Yunchang Zhu et al.
RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing
JianXing Liao, Tian Zhang, Xiao Feng et al.
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
Yihong Dong, Xue Jiang, Yongding Tao et al.
RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection
Zhaoheng Huang, Dacheng Wen, Yutao Zhu et al.
RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation
Yitian Kou, Yihe Gu, Chen Zhou et al.
RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation
Whiyoung Jung, Sunghoon Hong, Deunsol Yoon et al.
RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models
Xiang Lin, Weixin Li, Shu Guo et al.
RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator
Zhiming Liu, Nantheera Anantrasirichai