Papers
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.
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
Masaki Sashida, Takeshi Kojima, Yusuke Iwasawa et al.
Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal
Jingwei Xin, Kai Guo, Jie Li et al.
Revealing the Numeracy Gap: An Empirical Investigation of Text Embedding Models
Ningyuan Deng, Hanyu Duan, Yixuan Tang et al.
Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs
Qihua Dong, Yitian Zhang, Huimin Zeng et al.
Revealing the Truth with ConLLM for Detecting Multi-Modal Deepfakes
Gautam Siddharth Kashyap, Harsh Joshi, Niharika Jain et al.
REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
Seowung Leem, Lin Gu, Chenyu You et al.
REVEAL: Retrieval-Enhanced Verification for Multimodal Fact-Checking
Amina Tariq, Yova Kementchedjhieva
Reverse Personalization
Han-Wei Kung, Tuomas Varanka, Nicu Sebe
ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents
Zhuofeng Li, Yi Lu, Dongfu Jiang et al.
Revisiting an Old Perspective Projection for Monocular 3D Morphable Models Regression
Toby Chong, Ryota Nakajima