Large language models have limited context capacity, hindering reasoning over long conversations. We propose the Hierarchical Aggregate Tree memory structure to recursively aggregate relevant dialogue context through conditional tree traversals. HAT encapsulates information from children nodes, enabling broad coverage with depth control. We formulate finding best context as optimal tree traversal. Experiments show HAT improves dialog coherence and summary quality over baseline contexts, demonstrating the techniques effectiveness for multi turn reasoning without exponential parameter growth. This memory augmentation enables more consistent, grounded longform conversations from LLMs
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement
Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学高瓴人工智能学院）；Wuhan University of Science and Technology（武汉科技大学）；National University of Singapore（新加坡国立大学）；Northeastern University at Qinhuangdao（东北大学秦皇岛分校）；BOSS Zhipin（BOSS直聘）
Enhancing textual textbook question answering with large language models and retrieval augmented generation
Faculty of Computing and Information Technology, King Abdulaziz University（阿卜杜勒阿齐兹国王大学计算与信息技术学院）；College of Computer and Information Science, Imam Mohammad Ibn Saud Islamic University (IMSIU)（伊玛目穆罕默德·本·沙特伊斯兰大学计算机与信息科学学院）；School of Computing, Macquarie University（麦考瑞大学计算学院）
Rethinking All Evidence: Enhancing Trustworthy Retrieval-Augmented Generation via Conflict-Driven Summarization
University of Chinese Academy of Sciences（中国科学院大学）；Chinese Academy of Sciences（中国科学院）；National University of Defense Technology（国防科技大学）；Chongqing University of Technology（重庆理工大学）
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor
College of Intelligence and Computing, Tianjin University（天津大学智能与计算学部）；Artificial Intelligence Laboratory, China Mobile Communication Group Tianjin Co., Ltd.（中国移动通信集团天津有限公司人工智能实验室）；University College London（伦敦大学学院）
A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models
School of Computer and Communication Engineering, University of Science and Technology Beijing（计算机与通信工程学院，北京科技大学）；Blekinge Institute of Technology（布莱金厄学院）
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
MoE Key Lab of Artificial Intelligence（人工智能增强实验室）；Jiangsu Key Lab of Language Computing（江苏语言计算重点实验室）；X-LANCE Lab（X-LANCE实验室）；School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机科学学院）；Shanghai Innovation Institute（上海创新研究院）；Shanghai Aviation Electric Co., Ltd（上海航空电器有限公司）
Large Language Models (LLMs) as Agents for Augmented Democracy
University of Toulouse（图卢兹大学）；Corvinus University of Budapest（布达佩斯考文纽斯大学）；IRIT, Université Toulouse Capitole（图卢兹 Capitole 大学图卢兹计算机研究所）；Toulouse School of Economics（图卢兹经济学院）；Université Toulouse Capitole（图卢兹 Capitole 大学）
VizRAG: Enhancing Retrieval-Augmented Generation with Hypergraph Visualization
Southern University of Science and Technology（南方科技大学）；Hong Kong University of Science and Technology（香港科技大学）；Huawei Research（华为研究院）；Beihang University（北京航空航天大学）
ExpertAgent: Enhancing Personalized Education through Dynamic Planning and Retrieval-Augmented Long-Chain Reasoning
Department of Computer Science（计算机科学系）；San Francisco State University（旧金山州立大学）；Department of Mechanical & Industrial Engineering（机械与工业工程系）；Louisiana State University（路易斯安那州立大学）
Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings
Institute for Research in Technology, ICAI School of Engineering, Comillas Pontifical University（技术研究所，ICAI工程学院，科米利亚斯宗座大学）；DD-AIM, Senior Machine Learning Researcher（DD-AIM，高级机器学习研究员）
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
School of Computer Science（计算机科学学院）；Department of Electrical and Computer Engineering（电气与计算机工程系）；Standards and Mobility Innovation Lab（标准与移动创新实验室）；Samsung Research America（三星美国研究）
ContextRL: Enhancing MLLM's Knowledge Discovery Efficiency with Context-Augmented RL
Tsinghua Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院）；Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳））；Chinese Academy of Sciences（中国科学院）；Tsinghua University（清华大学）
EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation
College of Information Science and Engineering, Northeastern University（信息科学与工程学院，东北大学）；Foshan Graduate School of Innovation, Northeastern University（创新佛山研究生院，东北大学）；College of Computing and Data Science, Nanyang Technological University（计算与数据科学学院，南洋理工大学）；Institute of Automation, Chinese Academy of Sciences（自动化研究所，中国科学院）；Squirrel Ai Learning
LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers
Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；Chinese Academy of Sciences（中国科学院）；University of Chinese Academy of Sciences（中国科学院大学）；Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳））
Enhancing Financial Report Question-Answering: A Retrieval-Augmented Generation System with Reranking Analysis
School of Engineering Stanford University Stanford, CA, USA；Simon Business School University of Rochester Rochester, NY, USA；Accounting \& Information Systems Rutgers University Newark, NJ, USA；Institute for Social；Economic Research；Policy Columbia University New York, NY, USA；Department of Economics Northeastern University Boston, MA, USA
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
University of Science and Technology of China（中国科学技术大学）；Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）；Shenzhen University（深圳大学）；Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳））
CoCR-RAG: Enhancing Retrieval-Augmented Generation in Web Q&A via Concept-oriented Context Reconstruction
University of Southern Queensland（昆士兰大学）；University of Technology Sydney（新南威尔士大学）；The Hong Kong Polytechnic University（香港理工大学）；National University of Singapore（新加坡国立大学）；Qatar Computing Research Institute（卡塔尔计算研究所）；The Education University of Hong Kong（香港教育大学）
