Retrieval-augmented generation

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Evidence papers — 50 most recent of 1129

• Tracing the Evidence Behind Zero-Shot Time-Series Forecasting: A Source-First Taxonomy and Audit Framework
  Delun Kong, Wanyun Ling, Chenxi Liu, Ziyue Li · Sep 2026 · arXiv
• An Interpretable Memory Decision Controller for LLM Agents Based on Three-Signal Complementarity: Decoupling Confidence and Consistency
  Yiming Zhang, Jinghong Zhang, Haoran Zhao, Yiren Ma, Chunlei Zhao · Sep 2026 · arXiv
• AutoRecLab: Describe the Experiment, Get the Code!
  Moritz Baumgart, Philipp Meister, Justus Krell, Michael Schmidt, Bela Gipp, Joeran Beel · Sep 2026 · arXiv
• Offline Multimodal Large Language Models for Decision Support in Air Operations
  Joao P. A. Dantas, Jelton A. Cunha, Gabriel Dietzsch · Sep 2026 · arXiv
• Micro-Collaborative Poisoning: A Distributed Attack on RAG Systems
  Pedro Pereira, Eva Maia, Isabel Praça · Sep 2026 · arXiv
• Reducing Barriers to Academic Support: Evaluating a Course-Specific RAG System for Addressing Help-Seeking Disparities in Higher Education
  Andy Gray, Jake Hobbs · Sep 2026 · arXiv
• PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving
  Omkar Shewale, Deepak Kumar, Divakar Kumar Yadav · Sep 2026 · arXiv
• RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents
  Mingxuan Zhang, Xiaowen Wang, Anupma Sharan, Zhengyi Chen, Chenyu Diana Zhang, Shanshan Yang, Chittibabu Pacharu · Sep 2026 · arXiv
• Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics
  Wonmi Choi, Minuk Park, Zhixiong Niu, Yongqiang Xiong, Chuck Yoo, Gyeongsik Yang · Sep 2026 · arXiv
• Scientific Image Quality Assessment via Multi-modal Retrieval-Augmented Generation
  Yinuo Zhang, Bingshuo Liu, Zhiying Tu, Dianhui Chu, Qingbin Liu, Xi Chen, Jiang Bian, Xiaoyan Yu, Dianbo Sui · Sep 2026 · arXiv
• Large Language Model Agents for Evidence Based Genetic Disease Severity Classification
  Tohid Ghasemnejad, Ahmadreza Argha, Mark Grosser, John Wang, Min Yang, Thantrira Porntaveetus, Tony Roscioli, Nigel H. Lovell, Mahmoud Aarabi, Hamid Alinejad-Rokny · Sep 2026 · arXiv
• WFM: Wiki Foundation Model for Complex Agentic Reasoning
  Junnan Dong, Linhao Luo, Senlei Zhang, Gong Chen, Taian Guo, Yifei Yu, Rong Tao, Tao Guo, Qian-Wen Zhang, Siyu An, Ruizhi Qiao, Xing Sun · Sep 2026 · arXiv
• Knowledge-Graph Based Augmentation versus Retrieval Augmented Generation for Cultural-Related Question Answering
  Pablo Poulenard, Yannis Karmim, Valentin Barrière · Sep 2026 · arXiv
• Contiguity, Not Importance: Budgeted Repair of Stale KV Caches After Document Edits
  Mingyang Mao, Wyatt Mackey, Xiaomin Lin · Sep 2026 · arXiv
• Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge Graphs
  Ioannis E. Livieris · Sep 2026 · arXiv
• When Is Graph Structure Worth Its Cost? The Case for Structure Pricing in Retrieval-Augmented Generation
  Yuzhong Zhang, Haoyang Ma, Chao Peng, Lionel Briand, Boxi Yu, Jialun Cao · Sep 2026 · arXiv
• Less Is More: Graph-free Multimodal RAG via Multi-signal Late Fusion
  Tithi Rakshit, Hongkuan Zhou, Lavdim Halilaj, Yuqicheng Zhu · Sep 2026 · arXiv
• One Size Does Not Fit All! Dynamic Retriever and Generator Selection for RAG
  Neeraj Anand, Payel Santra, Partha Basuchowdhuri, Debasis Ganguly, Sumit Bhatia · Sep 2026 · arXiv
• Modular Deep Learning Mechanisms for Auditable Next-Day Wildfire Spread Prediction
  Miguel Esparza, Aydin Ayanzadeh, Ahmad Mousavi, Ali Mostafavi · Sep 2026 · arXiv
• Query-Aware Source-Risk Triage for Retrieval-Augmented Generation
  Kainan Zhou, Gangzhen Qian, Chuhong Xu, Lu Yi · Sep 2026 · arXiv
• BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research
  Qingyang Xu · Sep 2026 · arXiv
• SNOMED CT Concept Recommendation from Masked Clinical Context
  Ali Noori · Sep 2026 · arXiv
• AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research
  Bernie Boscoe, Srinath Saikrishnan, Vikram Seenivasan, Jack Stark, Andrew Lizarraga, Morgan Himes, Jonathan Soriano, PJ Allen, Tuan Do · Sep 2026 · arXiv
• ORDER: Task-Conditioned Routing for Retrieval-Augmented Generation
  Aurélien Pellet, Julien Perez, Marie Puren · Sep 2026 · arXiv
• CLEAR: Cross-Source Evidence Adjudication for Large Language Models in Medicine
  Shuai Wang, Yize Zhao, Qingyu Chen · Sep 2026 · arXiv
• The Universe of Universes: Benefit Yield Functions, Implosion Thresholds, and Infrastructure-Aware Optimization in Multi-LLM Systems
  Danielle Franklin, Vasu Raj Jain · Sep 2026 · arXiv
• RAG-CT: Mitigating Privacy Risks on Retrieval-Augmented Generation Systems via Scanning Prompt Distribution
  Xingyu Lyu, Jiayimei Wang, Jianfeng He, Ning Wang, Yidan Hu, Yimin Chen · Sep 2026 · arXiv
• CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering
  Sumit Barua, Guan Hong, Halil Dursunoglu, Charles Rodgers, Alvis Fong · Sep 2026 · arXiv
• LLMs as Master Forgers: Generating Synthetic Time Series Data for Manufacturing
  Mantek Singh, Jeshwanth Challagundla, Prateek Karnal, Gagan Ganapathy, Vineet Shah, Ridam Arora · Sep 2026 · arXiv
• CiteShade: Citation Laundering in Multi-Source Retrieval-Augmented Generation and Its Counterfactual Defense
  Guo Fuzheng · Sep 2026 · arXiv
• LLM Inference in a Flash!
  Sebastian Zhao, Minseo Kim, Coleman Hooper, Luca Manolache, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami · Sep 2026 · arXiv
• Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG Domain
  Motaz Saad, Anna Borrelli, Ivan Gentile, Kianna Kazemi, Francesco Piccialli, Antonella Longo · Sep 2026 · arXiv
• Medical Knowledge Simplification for Patients in the Era of LLMs: A Case Study on Diabetes
  Pallika Kafle, Yipeng Zhou, Guanfeng Liu, Quan Z. Sheng, Cheng-Hsin Hsu · Sep 2026 · arXiv
• Navigating Sparse Evidence: Agentic Visual RAG via Explicit Context Selection and Consolidation
  Yucheng Shen, Lingyong Yan, Jiulong Wu, Shuaiqiang Wang, Jianmin WU, Dawei Yin, Min Cao · Sep 2026 · arXiv
• CWM: Controllable White-Box Meta-Prompting for Adaptive Retrieval-Augmented Generation and Reasoning Ability
  Keuntae Kim, Eunhye Jeong, Yong Suk Choi · Sep 2026 · arXiv
• TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps
  Rohit Patel, Susil Kumar Mohanty, Jeenal Chaudhary · Sep 2026 · arXiv
• Building Legal Reward Models for Grounding and Abstention
  Rilton Franzone, Valentin Noël, Puyu Wang, Philip Torr, Fabio J. Fehr · Sep 2026 · arXiv
• The Attribution-Compression Frontier in Retrieval-Augmented Generation
  Deepanshu Mody · Sep 2026 · arXiv
• AlgoRAG: Retrieval-Augmented Generation for Theoretical Computer Science Education -- A Comprehensive Evaluation Framework for Algorithm Analysis and Complexity Theory
  Sushan Adhikari · Sep 2026 · arXiv
• Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection
  Zeyu Dong, Benjamin Wang, Joyee W. Jin · Sep 2026 · arXiv
• Dynamic Learning Solutions: A System for Personalized Educational Video Generation
  Siddhanth Sridhar, Shreya Chaurasia, Baddela Sai Yaswantha Reddy, Deepak Parmar, Shylaja S S · Sep 2026 · arXiv
• The Immutable Past: Formalizing State Mutability and Conflict Resolution in Mutable RAG
  Hamed HaddadPajouh, Amir AmiriTabat · Sep 2026 · arXiv
• Solar Intelligence
  Jyotsna Singh · Sep 2026 · arXiv
• ClinAgent: A ReAct-Based Agent for Conversational Access to Clinical Trial Information
  Antonino Vaccarella, Riccardo Cantini, Domenico Talia, Paolo Trunfio, Marianna Talia, Rosamaria Lappano, Marcello Maggiolini · Sep 2026 · arXiv
• Oops, Not Now: PEARL, a RAG-Based Support Agent for Gameplay and What Players Want from AI Help
  Jiahong Li, Sai Siddartha Maram, Atieh Kashani, Ulia Zaman, Zhiyu Lin, Cameron Marano, Roger Azevedo, Jichen Zhu, Magy Seif El-Nasr · Sep 2026 · arXiv
• GraMRAG: Orchestrating Multi-Agent Multi-Step Reasoning via Graph Memory with Reinforcement Learning
  Zhongyu Wang · Sep 2026 · arXiv
• ShopEase: A Generative AI-Based Multi-Agent Framework for Intelligent Enterprise Customer Support Using Hybrid Retrieval-Augmented Generation
  Aakash Kumar Tiwari, Somesh Kumar · Sep 2026 · arXiv
• HyperProve: Answer-Guided Hypergraph Expansion for Multi-Hop Question Answering
  An Nguyen Phu, Dung Nguyen Quang, Luu Hieu An, Linh Ngo Van, Trung Le, Thien Huu Nguyen · Sep 2026 · arXiv
• RA-CoA: Training-free Fashion Image Captioning via Retrieval-Augmented Chain-of-Attributes
  Abhirama Subramanyam Penamakuri, Shreya Shukla, Anand Mishra · Sep 2026 · arXiv
• A Graph-Based Approach for Mapping Kernel-Level Telemetry to MITRE ATT&CK
  Matteo Lupinacci, Luigi Arena, Francesco Blefari, Angelo Furfaro · Sep 2026 · arXiv