Papers
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
Zhiwei Liu, Kailai Yang, Qianqian Xie et al.
RAG and Recall: Multilingual Hate Speech Detection with Semantic Memory
Khouloud Mnassri, Reza Farahbakhsh, Noel Crespi
RAG based Question Answering of Korean Laws and Precedents
Kiho Seo, Takehito Utsuro
RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation
Guanting Dong, Jiajie Jin, Xiaoxi Li et al.
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
Kunlun Zhu, Yifan Luo, Dingling Xu et al.
RaggedyFive at SemEval-2025 Task 3: Hallucination Span Detection Using Unverifiable Answer Detection
Wessel Heerema, Collin Krooneman, Simon Van Loon et al.
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
Zhuoran Jin, Hongbang Yuan, Tianyi Men et al.
RAGthoven at SemEval 2025 - Task 2: Enhancing Entity-Aware Machine Translation with Large Language Models, Retrieval Augmented Generation and Function Calling
Demetris Skottis, Gregor Karetka, Marek Suppa
RainCityNLP at BioLaySumm2025: Extract then Summarize at Home
Jen Wilson, Michael Pollack, Rachel Edwards et al.
Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance
Florian Babl, Moritz Hennen, Jakob Murauer et al.
Rank, Chunk and Expand: Lineage-Oriented Reasoning for Taxonomy Expansion
Sahil Mishra, Kumar Arjun, Tanmoy Chakraborty
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
Mingyan Wu, Zhenghao Liu, Yukun Yan et al.
Ranked Voting based Self-Consistency of Large Language Models
Weiqin Wang, Yile Wang, Hui Huang
Ranking Unraveled: Recipes for LLM Rankings in Head-to-Head AI Combat
Roland Daynauth, Christopher Clarke, Krisztian Flautner et al.
RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery
Hongchao Gu, Dexun Li, Kuicai Dong et al.
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
Hieu Tran, Zonghai Yao, Zhichao Yang et al.
RASD: Retrieval-Augmented Speculative Decoding
Guofeng Quan, Wenfeng Feng, Chuzhan Hao et al.
RASPberry: Retrieval-Augmented Monte Carlo Tree Self-Play with Reasoning Consistency for Multi-Hop Question Answering
Baixuan Li, Yunlong Fan, Tianyi Ma et al.
RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models
Junjie Li, Nan Zhang, Xiaoyang Qu et al.
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability
Chiwei Zhu, Benfeng Xu, An Yang et al.
Rationalize and Align: Enhancing Writing Assistance with Rationale via Self-Training for Improved Alignment
Hannan Cao, Hai Ye, Hwee Tou Ng
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning
Dongwei Jiang, Guoxuan Wang, Yining Lu et al.
RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning
Deyi Ji, Yuekui Yang, Haiyang Wu et al.
Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training
Zhiyang Zhang, Ziqiang Liu, Huiming Wang et al.