Papers
Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception
Xiaoyu Li, Peidong Li, Xian Wu et al.
Rethinking Video-Language Model from the Language Input Perspective
Xiang Fang, Wanlong Fang, Changshuo Wang et al.
Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment
Rui Xu, Yunke Wang, Yong Luo et al.
Rethink Representation Learning for Questionnaire Data
Guanhua Ye, Jifeng He, Yan Li et al.
RetouchAgent: Towards Interactive and Explainable Image Retouching with MLLM Agents
Shuo Zhang, Xinyu Yang
ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering
Francesco Maria Molfese, Luca Moroni, Ciro Porcaro et al.
ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval
Zixu Li, Yupeng Hu, Zhiwei Chen et al.
ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants
ZhongDong Li, Weijie Shi, Yue Cui et al.
Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning
Bo Li, Mingda Wang, Gexiang Fang et al.
Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language Models
Guangyu Yang, Jinghong Chen, Jingbiao Mei et al.
Retrieval-driven Reasoning for Deliberative Visual Classification
Jianye Xie, Lianyong Qi, Fan Wang et al.
Retrieval Enhancements for RAG: Insights from a Deployed Customer Support Chatbot
Daniel González Juclà, Mohit Tuteja, Marcos Esteve Casademunt et al.
Retrieval Heads are Dynamic
Yuping Lin, Zitao Li, Yue Xing et al.
Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models
Hao Fang, Xiaohang Sui, Hongyao Yu et al.
Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation
Fan Wang, Zhongyi Han, Yongshun Gong et al.
Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification
Jiayu Zhang, Shuo Ye, Qilang Ye et al.
RetroLM: Retrieval-Augmented KVs for Long-Context Processing
Kun Luo, Zheng Liu, Shitao Xiao et al.
RetrySQL: Text-to-SQL Training with Retry Data for Self-Correcting Query Generation
Alicja Rączkowska, Riccardo Belluzzo, Piotr Zieliński et al.
Reusable Experiences: Latent Routing and Modular Composition in LLMs
Shuai Ling, Lizi Liao, Dongmei Jiang et al.
Reusing Samples in Variance Reduction
Yujia Jin, Ishani Karmarkar, Aaron Sidford et al.
REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation
FuLin Shi, Wenyi Xiao, Leilei Gan et al.
Revealing and Reducing Morphological Biases Using Implicit Neural Representations for Medical Image Registration
Sofija Engelson, Bennet Kahrs, Timo Kepp et al.
Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis
Samuel Halimi, Loic Themyr, Arnaud Abreu
Revealing POMDPs: Qualitative and Quantitative Analysis for Parity Objectives
Ali Asadi, Krishnendu Chatterjee, David Lurie et al.
Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient Organization
Jia Liu, Jiaxin Luo, Weiwen Xu et al.