Papers
Revisiting Model Interpolation for Efficient Reasoning
Taiqiang Wu, Runming Yang, Tao Liu et al.
Revisiting Network Inertia: Dynamic Inertia Inhibition Coupled Multidimensional Periodicity for Infrared and Visible Image Fusion
Yufeng Chen, Yuan Sun, Hao Pan et al.
Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms
Yuto Nishida, Naoki Shikoda, Yosuke Kishinami et al.
Revisiting Retentive Networks for Fast Range-View 3D LiDAR Semantic Segmentation
Simone Mosco, Daniel Fusaro, Wanmeng Li et al.
Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction
Haowei Hua, Jingwen Yang, Wanyu Lin et al.
Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View
Jianyu Qi, Ding Zou, Wenrui Yan et al.
Revisiting the Reliability of Language Models in Instruction-Following
Jianshuo Dong, Yutong Zhang, Liu Yan et al.
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
Ainhize Barrainkua, Giovanni De Toni, Jose A. Lozano et al.
Revisiting Vision-Language Foundations for No-Reference Image Quality Assessment
Ankit Yadav, Ta Duc Huy, Lingqiao Liu
Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding
Beomsik Cho, Jaehyung Kim
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.