Papers
RAFFLES: Reasoning-based Attribution of Faults for LLM Systems
Chenyang Zhu, Spencer Hong, Jingyu Wu et al.
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
Run Ling, Wenji Wang, Yuting Liu et al.
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali et al.
RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation
Qinfeng Li, Miao Pan, Ke Xiong et al.
RAG-on-a-Diet: A Reinforcement Learning-Based Dynamic Resource Optimization Framework for RAG
Hongwen Ding, Yizheng Zhao
RAGPPI: Retrieval-Augmented Generation Benchmark for Protein–Protein Interactions in Drug Discovery
Youngseung Jeon, Ziwen Li, Thomas Li et al.
RAG-R1:Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism
Zhiwen Tan, Jiaming Huang, Qintong Wu et al.
RAGTurk: Best Practices for Retrieval Augmented Generation in Turkish
Süha Kağan Köse, Mehmet Can Baytekin, Burak Aktaş et al.
RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation
Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald
RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking
Yehan Sun, Rongrong Ni, Chuangchuang Tan et al.
RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion
Ruijie Zhang, Bixin Zeng, Shengpeng Wang et al.
RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds
Jingyun Fu, Zhiyu Xiang, Na Zhao
RampWatch: An In-the-Wild Dataset and Text-Guided Detection Framework for Recreational Vessels
Malik Muhammad Asim, Claire B. Smallwood, Abdullah Tariq et al.
RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
Ziyang Zhou, Ziqi Liu, Yan Wang et al.
Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability
Yao Deng, Xiang Xiang, Jiaqi Gui
Random is Faster than Systematic in Multi-Objective Local Search
Zimin Liang, Miqing Li
RandP: Effective and Efficient Medical Visual In-Context Learning via a Retrieve-and-Propagate Module for Prompt-Query Fusion
Rongge Mao, Han Li, Chengqi Dong et al.
Rank-based Geographical Regularization: Revisiting Contrastive Self-Supervised Learning for Multispectral Remote Sensing Imagery
Tom Burgert, Leonard Hackel, Paolo Rota et al.
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation
Abdelrahman Abdallah, Bhawna Piryani, Jamshid Mozafari et al.
Ranking Human and LLM Texts Using Locality Statistics
Yiyang Wang, Chen Ding, Hangfeng He
Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds
Oscar Villemaud, Suryanarayana Sankagiri, Matthias Grossglauser
Ranking Reasoning LLMs under Test-Time Scaling
Mohsen Hariri, Michael Hinczewski, Jing Ma et al.
RankList – a Listwise Preference Learning Framework for Predicting Subjective Preferences
Abinay Reddy Naini, Fernando Diaz, Carlos Busso
RAPID: A Rapid Prototyping Platform for Industrial Automation
Sunghoon Hong, Junseok Park, Whiyoung Jung et al.
RapidMV: Leveraging Spatio-Angular Latent Space for Efficient and Consistent Text-to-Multi-View Synthesis
Seungwook Kim, Yichun Shi, Kejie Li et al.