Papers
Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models
Junhao Liu, Haonan Yu, Zhenyu Yan et al.
Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
Ziyu Zhou, Yiming Huang, Yanyun Wang et al.
Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach
Long Hai Trieu, Phí Minh Hieu, Makoto Miwa
Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release
Azin Jahedi, Marc Rivinius, Noah Berenguel Senn et al.
Reward Alignment Optimization: A Direct Point-wise Alignment Approach
Zelin Li, Jia Leng, Dawei Song et al.
Reward Model Evaluation via Automatically-Ranked Policy Alignment
Aoran Wang, Lei Ou, Yang Yu et al.
Reward Modeling for Scientific Writing Evaluation
Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych
Reward Redistribution via Gaussian Process Likelihood Estimation
Minheng Xiao, Xian Yu
Reward Selection with Noisy Observations
Kamyar Azizzadenesheli, Trung Dang, Aranyak Mehta et al.
RExBench: Can coding agents autonomously implement AI research extensions?
Nicholas Edwards, Yukyung Lee, Yujun Audrey Mao et al.
ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
Roshan Kenia, Xiaoman Zhang, Pranav Rajpurkar
REZE: Representation Regularization for Domain-adaptive Text Embedding Pre-finetuning
Seungmin Lee, Jeonghwan Lee, Hyunkuk Lim et al.
RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation
Taotao Li, Yiyang Li, Zhenyu Wen et al.
RFI: Rectified Flow Intervention for Mitigating Object Hallucination in Large Vision-Language Models
Junyu Cheng, Zhibiao Liang, Yidong Chen et al.
RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA
Chao Zhang, Minghan Li, Tianrui Lv et al.
RflyPano: A Panoramic Benchmark for Ultra-low Altitude UAV Localization Powered by RflySim
Dun Dai, Ze Lu, Xunhua Dai et al.
RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models
Yu Cheng, Jiuan Zhou, Jiawei Chen et al.
RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models
Zihang Liu, Fang Zhouhua, Hui Liu et al.
R-GDA: Reflective Guidance Data Augmentation with Multi-Agent Feedback for Domain-Specific Named Entity Recognition
Hyeonseok Kang, Hyuk Namgoong, Goun Pyeon et al.
RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation
Xuetao Li, Wenke Huang, Nengyuan Pan et al.
Rhetorical Questions in LLM Representations: A Linear Probing Study
Louie Hong Yao, Vishesh Anand, Yuan Zhuang et al.
Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction
Jiafu Huang, Chao Peng, Chenyang Xu et al.
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
Yixin Yang, Qingxiu Dong, Linli Yao et al.
RiddleBench: A New Generative Reasoning Benchmark for LLMs
Deepon Halder, Alan Saji, Thanmay Jayakumar et al.
RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization
Yan Li, Ze Yang, Keisuke Tateno et al.