Papers
Re-architecting Personalized Federated Learning for Demanding Edge Environments
Quyang Pan, Sheng Sun, Tingting Wi et al.
Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning
Chenyu Zhang, Lanjun Wang, Yiwen Ma et al.
ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models
Jiaxin Liu, Zhaolu Kang
Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference
Zhengjia Wang, Danding Wang, Qiang Sheng et al.
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Mingqi Wu, Zhihao Zhang, Qiaole Dong et al.
Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms
Yuhang Wang, Yanxu Zhu, Jitao Sang
Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding
Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen
Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation
Qing Zhou, Lichang Yang, Yuyu Jia et al.
Reasoning with Exploration: An Entropy Perspective
Daixuan Cheng, Shaohan Huang, Xuekai Zhu et al.
ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding
Yuan Zhou, Litao Hua, Shilong Jin et al.
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
Alberto Pirillo, Luca Colombo
ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models
Jiahao Li, Yusheng Luo, Yunzhong Lou et al.
ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting
Xiang Ma, Taihua Chen, Pengcheng Wang et al.
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
Min Hou, Chenxi Bai, Le Wu et al.
ReCode: Updating Code API Knowledge with Reinforcement Learning
Haoze Wu, Yunzhi Yao, Wenhao Yu et al.
Reconcile Gradient Modulation for Harmony Multimodal Learning
Xiyuan Gao, Bing Cao, Baoquan Gong et al.
Reconfiguring Proportional Committees
Chris Dong, Fabian Frank, Jannik Peters et al.
Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services
Zipeng Ye, Wenjian Luo, Qi Zhou et al.
Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting
Gyusam Chang, Tuan-Anh Vu, Vivek Alumootil et al.
ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver
Wenxuan Song, Ziyang Zhou, Han Zhao et al.
RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram
Yuan Xue, Xiaoyu Lu, Yunfei Bai et al.
Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis
Huiting Huang, Tieliang Gong, Kai He et al.
Rectification Reimagined: A Unified Mamba Model for Image Correction and Rectangling with Prompts
Linwei Qiu, Gongzhe Li, Xiaozhe Zhang et al.
Rectified Noise: A Generative Model Using Positive-incentive Noise
Zhenyu Gu, Yanchen Xu, Sida Huang et al.
Rectify Evaluation Preference: Improving LLMs’ Critique on Math Reasoning via Perplexity-aware Reinforcement Learning
Changyuan Tian, Zhicong Lu, Shuang Qian et al.