Papers
QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling
Yumeng Wang, Xiuying Chen, Suzan Verberne
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
Yihang Wang, Xu Huang, Bowen Tian et al.
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
Jiajun Zhou, Yifan Yang, Kai Zhen et al.
R2A-TLS: Reflective Retrieval-Augmented Timeline Summarization with Causal-Semantic Integration
Chenlong Bao, Shijie Li, Minghao Hu et al.
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
Kaijie Chen, Zihao Lin, Zhiyang Xu et al.
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
Yuan Li, Qi Luo, Xiaonan Li et al.
RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives
Jaehong Yoon, Shoubin Yu, Mohit Bansal
RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
Changmao Li, Jeffrey Flanigan
RACQC: Advanced Retrieval-Augmented Generation for Chinese Query Correction
Jinbo Su, Lingzhe Gao, Wei Li et al.
RAcQUEt: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs
Alberto Testoni, Barbara Plank, Raquel Fernández
RaDeR: Reasoning-aware Dense Retrieval Models
Debrup Das, Sam O’Nuallain, Razieh Rahimi
RadEval: A framework for radiology text evaluation
Justin Xu, Xi Zhang, Javid Abderezaei et al.
RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing
Ruihan Jin, Pengpeng Shao, Zhengqi Wen et al.
Radical Allomorphy: Phonological Surface Forms without Phonology
Salam Khalifa, Nizar Habash, Owen Rambow
RAED: Retrieval-Augmented Entity Description Generation for Emerging Entity Linking and Disambiguation
Karim Ghonim, Pere-Lluís Huguet Cabot, Riccardo Orlando et al.
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
Yu Wang, Shiwan Zhao, Zhihu Wang et al.
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
Andrei C. Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro et al.
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
Wanlong Liu, Junying Chen, Ke Ji et al.
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
Ian Poey, Jiajun Liu, Qishuai Zhong
RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning
Kun Li, Yunxiang Li, Tianhua Zhang et al.
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
Qingsong Lv, Yangning Li, Zihua Lan et al.
RALS: Resources and Baselines for Romanian Automatic Lexical Simplification
Fabian Anghel, Cristea Petru-Theodor, Claudiu Creanga et al.
Randomized Smoothing Meets Vision-Language Models
Emmanouil Seferis, Changshun Wu, Stefanos Kollias et al.
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli et al.