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title: "Who cites Retrieval-Augmented — page 7 — 3,230 citing papers"
description: "3,230 papers of the Elamur Research library cite «Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks», found in their…"
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# Who cites «Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks»

3,230 papers of our library cite it (of the 149,439 whose bibliographies we read) · 695 with a page here, the most cited first · page 7 of 7 · 601–695 · [← back to «Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks»](https://md.research.elamur.ai/free/en/papers/lewis-2020-retrieval-augmented-generation-knowledge-intensive/)

[← prev](https://md.research.elamur.ai/free/en/papers/lewis-2020-retrieval-augmented-generation-knowledge-intensive/cited-by/page/6/) [1](https://md.research.elamur.ai/free/en/papers/lewis-2020-retrieval-augmented-generation-knowledge-intensive/cited-by/) … [6](https://md.research.elamur.ai/free/en/papers/lewis-2020-retrieval-augmented-generation-knowledge-intensive/cited-by/page/6/) **7**

601. **[Momoka-RAG: MCTS-Organized Mapping of Knowledge Associations for Long-Document Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/tao-2026-momoka-rag-mcts-organized-mapping/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenyu Tao, Xiaofen Xing, Zeliang Li, et al.*2026*
602. **[MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks](https://md.research.elamur.ai/free/en/papers/ruan-2026-mtr-suite-framework-evaluating-synthesizing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.*2026*
603. [**Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge arXiv:2609.31511**Yahya Mohamed Elnawasany*2026*](https://md.research.elamur.ai/free/en/papers/elnawasany-2026-muslim-deployed-arabic-voice-ai/)
604. **[NEST: Nested Evidence Survival for Retrieval](https://md.research.elamur.ai/free/en/papers/verma-2026-nest-nested-evidence-survival-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Akshay Verma, Siddharth Pillai, Prateek Sircar, et al.*2026*
605. **[NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons](https://md.research.elamur.ai/free/en/papers/zheng-2026-neurag-end-end-neural-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwei Zheng, Xuemin Liu, Jie Liu*2026*
606. **[NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering](https://md.research.elamur.ai/free/en/papers/shi-2026-ng-router-graph-supervised-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.*2026*
607. **[NU_DeepHealthNLP at #SMM4H-HeaRD 2026: Entity-Conditioned Generation and a Four-Stage Pipeline for Automated SOAP Note Generation](https://md.research.elamur.ai/free/en/papers/santhosh-2026-nu-deephealthnlp-smm4h-heard-2026/) [Social Media Mining for Health Research and Applications Workshop and Shared Tasks](https://md.research.elamur.ai/free/en/venues/smm4h/)**Thanya Mysore Santhosh, Deahan Yu*2026*
608. **[ODTQA-FoRe: An Open-Domain Tabular Question Answering Dataset for Future Data Forecasting and Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-odtqa-fore-open-domain-tabular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhensheng Wang, Xiaole Liu, Wenmian Yang, et al.*2026*
609. **[One Retrieval to Cover Them All: Co-occurrence-Aware Knowledge Base Reorganization for Session-Level RAG](https://md.research.elamur.ai/free/en/papers/ratnakar-2026-one-retrieval-cover-them-all/) [Workshop on Towards Knowledgeable Foundation Models](https://md.research.elamur.ai/free/en/venues/knowfm/)**Shivam Ratnakar, Yixuan Zhu, Cecilia Cheng, et al.*2026*
610. **[Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-optimizing-rag-rerankers-llm-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.*2026*
611. **[Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output Space](https://md.research.elamur.ai/free/en/papers/materzok-2026-output-space-search-targeting-llm/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Tobias Materzok*2026*
612. **[Over-Searching in Search-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/xie-2026-over-searching-search-augmented-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Roy Xie, Deepak Gopinath, David Qiu, et al.*2026*
613. **[Overview of the UZH Shared Task 2026 on Reconstructing the Reasoning in United Nations Resolutions](https://md.research.elamur.ai/free/en/papers/shaitarova-2026-overview-uzh-shared-task-2026/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Anastassia Shaitarova, Yingqiang Gao, Fatma-Zohra Rezkellah, et al.*2026*
614. **[PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes](https://md.research.elamur.ai/free/en/papers/shan-2026-pec-home-interpretation-progressively-elliptical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingyu Shan, Zeming Liu, Silin Li, et al.*2026*
615. **[Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework](https://md.research.elamur.ai/free/en/papers/ma-2026-personalizing-llms-binary-feedback-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xilai Ma, Liye Zhao, Weijun Yao, et al.*2026*
616. **[PharmaQA.IT: an Italian dataset for Q&A in the pharmaceutical domain](https://md.research.elamur.ai/free/en/papers/zeinalipour-2026-pharmaqa-it-italian-dataset-q/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kamyar Zeinalipour, Andrea Zugarini, Asya Zanollo, et al.*2026*
617. **[PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding](https://md.research.elamur.ai/free/en/papers/someki-2026-planrag-audio-planning-retrieval-augmented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Masao Someki, Chien-yu Huang, Siddhant Arora, et al.*2026*
618. **[PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts](https://md.research.elamur.ai/free/en/papers/zhu-2026-politnuggets-benchmarking-agentic-discovery-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifei Zhu*2026*
619. **[PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption](https://md.research.elamur.ai/free/en/papers/tan-2026-pra-rag-provably-robust-aggregation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xue Tan, Yi Zheng, Chang Huo, et al.*2026*
620. **[Predict and Fix: A Unified Model for Translation Quality Estimation and Post-Editing](https://md.research.elamur.ai/free/en/papers/modrzejewski-2026-predict-fix-unified-model-translation/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Maciej Modrzejewski, Yash Bhaskar, Chinmay Pateria*2026*
621. **[PROBE: PROcess-Based BEnchmark for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/zhang-2026-probe-process-based-benchmark-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yu Zhang, Peter Belcak, Shizhe Diao, et al.*2026*
622. **[PropGenie: A Multi-Agent Conversational Framework for Real Estate Assistance](https://md.research.elamur.ai/free/en/papers/shen-2026-propgenie-multi-agent-conversational-framework/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chang Shen, Shaozu Yuan, Kuizong Wu, et al.*2026*
623. **[Quantifying Retrieval Quality in GraphRAG: A Schema-Agnostic Approach](https://md.research.elamur.ai/free/en/papers/vanmechelen-2026-quantifying-retrieval-quality-graphrag-schema/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Thibaud Vanmechelen, Alexandre Achten, Zaineb Gabsi, et al.*2026*
624. **[Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search](https://md.research.elamur.ai/free/en/papers/mccleary-2026-quantifying-accuracy-cost-impact-design/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kyle A. McCleary, James M. Ghawaly*2026*
625. **[Query-Aware Knowledge Retrieval via Hyperbolic Structuring](https://md.research.elamur.ai/free/en/papers/zhou-2026-query-aware-knowledge-retrieval-hyperbolic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuang Zhou, Junnan Dong, Yilin Xiao, et al.*2026*
626. **[QurSci-Onto: A Hierarchical Ontology and Dataset for Scientific Exegesis in the Quran](https://md.research.elamur.ai/free/en/papers/rashid-2026-qursci-onto-hierarchical-ontology-dataset/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ibad-ur-Rehman Rashid, Junaid Hussain, Sadam Al-Azani*2026*
627. **[R^3AG: Retriever Routing for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-textasciicircum3ag-retriever-routing-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhao, Yutao Zhu, Yucheng Tian, et al.*2026*
628. **[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2026-rag-wild-effectiveness-llms-mixture/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ran Xu, Yuchen Zhuang, Yue Yu, et al.*2026*
629. **[RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real World](https://md.research.elamur.ai/free/en/papers/liu-2026-rag-or-learning-understanding-limits/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanbing Liu, Lang Cao, Yang Li*2026*
630. **[Rational Synthesizers or Heuristic Followers? Analyzing LLMs in RAG-based Question-Answering](https://md.research.elamur.ai/free/en/papers/naphade-2026-rational-synthesizers-or-heuristic-followers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Atharv Naphade*2026*
631. **[RBR: RAG-Based Open-Domain Question Answering Using a Ranking Approach to Document Retrieval](https://md.research.elamur.ai/free/en/papers/naravajhula-2026-rbr-rag-based-open-domain/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Priyatam Sai Naravajhula, Vincent Ng*2026*
632. **[Read As Human: Compressing Context via Parallelizable Close Reading and Skimming](https://md.research.elamur.ai/free/en/papers/tang-2026-read-as-human-compressing-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiwei Tang, Shilei Liu, Zhicheng Zhang, et al.*2026*
633. **[REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors](https://md.research.elamur.ai/free/en/papers/zhang-2026-reap-effective-training-free-chemical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingxu Zhang, Dazhong Shen, Qi Zhang, et al.*2026*
634. **[Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/man-2026-reasoning-memory-adaptive-information-management/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hieu Man, Ro-ee Tal, Abhishek Kumar, et al.*2026*
635. **[Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wu-2026-reflective-rag-self-evaluation-driven/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyan Wu, Chenchen Wang, Chaoqun Sun, et al.*2026*
636. **[Reinforcing Agentic Search Via Reward Density Optimization](https://md.research.elamur.ai/free/en/papers/luo-2026-reinforcing-agentic-search-reward-density/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kun Luo, Hongjin Qian, Zheng Liu, et al.*2026*
637. **[Representation Collapse in Machine Translation Through the Lens of Angular Dispersion](https://md.research.elamur.ai/free/en/papers/tokarchuk-2026-representation-collapse-machine-translation-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, et al.*2026*
638. **[Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference Time](https://md.research.elamur.ai/free/en/papers/zhao-2026-resonant-context-anchoring-decoupling-attention/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingkuan Zhao, Yide Gao, Wentao Hu, et al.*2026*
639. **[Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem](https://md.research.elamur.ai/free/en/papers/song-2026-rethinking-retrieval-augmented-generation-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lichang Song, Ting Long, Yi Chang*2026*
640. **[RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xi-2026-riprag-hack-black-box-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meng Xi, Sihan Lv, Yechen Jin, et al.*2026*
641. **[RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams](https://md.research.elamur.ai/free/en/papers/man-2026-rod-tal-benchmark-answering-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun, et al.*2026*
642. **[Role-Adapted Clinical Report Generation for Ultrasound Measurements in Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/nainia-2026-role-adapted-clinical-report-generation/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Ayoub Nainia, Tanya Akumu, Noussair Lazrak, et al.*2026*
643. **[SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback](https://md.research.elamur.ai/free/en/papers/xu-2026-sage-steerable-agentic-data-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fangyuan Xu, Rujun Han, Yanfei Chen, et al.*2026*
644. **[Scaling Vision–Language Models for Pharmaceutical Long-Form Video Reasoning on Industrial GenAI Platform](https://md.research.elamur.ai/free/en/papers/mishra-2026-scaling-vision-language-models-pharmaceutical/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Suyash Mishra, Qiang Li, Srikanth Patil, et al.*2026*
645. **[SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yuqing-2026-search-r-structured-entity-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**FU Yuqing, Yimin Deng, Wanyu Wang, et al.*2026*
646. **[SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation](https://md.research.elamur.ai/free/en/papers/zhang-2026-searchgym-bootstrapping-real-world-search/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xichen Zhang, Ziyi He, Yinghao Zhu, et al.*2026*
647. **[Simulating Crisis Cognition: A Computational Framework for Hypothesis Generation in Crisis Communication](https://md.research.elamur.ai/free/en/papers/yuan-2026-simulating-crisis-cognition-computational-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changsen Yuan, Yanghao Zhou, Chong Feng, et al.*2026*
648. **[Simulating Student Interactions for Virtual Pretesting with In-Context Learning](https://md.research.elamur.ai/free/en/papers/thuy-2026-simulating-student-interactions-virtual-pretesting/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Arthur Thuy, Luca Benedetto, Ekaterina Loginova, et al.*2026*
649. **[SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation](https://md.research.elamur.ai/free/en/papers/suppa-2026-skmteb-slovak-massive-text-embedding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marek Suppa, Andrej Ridzik, Daniel Hládek, et al.*2026*
650. **[SLANG-GraphRAG: Multi-Layered Retrieval with Domain-Specific Knowledge for Low Resource Social Media Conversations](https://md.research.elamur.ai/free/en/papers/wuraola-2026-slang-graphrag-multi-layered-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ifeoluwa Wuraola, Daniel Marciniak, Nina Dethlefs*2026*
651. **[SOAPTriage: SOAP-Guided Multi-View Clinical Text Modeling Framework for Automated ESI Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-soaptriage-soap-guided-multi-view/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Enming Wang, Jianlei Wang, Xueping Peng, et al.*2026*
652. **[Social-RAG: A Retrieval-Augmented Generation Pipeline for Computational Social Science Research on Telegram](https://md.research.elamur.ai/free/en/papers/nascimento-2026-social-rag-retrieval-augmented-generation/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Leonardo Nascimento, Eric Brasil, Arthur Lima, et al.*2026*
653. **[SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction](https://md.research.elamur.ai/free/en/papers/wang-2026-sr-rag-verifiable-multi-hop/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehua Wang, Zhaojin Zhang, Boyu Qiu, et al.*2026*
654. **[StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huawei Zheng, Xinqi Jiang, Sen Yang, et al.*2026*
655. **[STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/yu-2026-stem-structure-tracing-evidence-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Yu, En Xu, Bin Chen, et al.*2026*
656. [**SteuerLLM: Local specialized large language model for German tax law analysis arXiv:2602.11081 · Scientific Reports, Volume 16, 2026**Sebastian Wind, Jeta Sopa, Laurin Schmid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wind-2026-steuerllm-local-specialized-large-language/)
657. **[Still Loading@DravidianLangTech 2026: Telugu Prompt-Style Recovery using Multilingual Transformers](https://md.research.elamur.ai/free/en/papers/sarker-2026-still-loading-dravidianlangtech-2026-telugu/) [Workshop on Speech, Vision, and Language Technologies for Dravidian Languages](https://md.research.elamur.ai/free/en/venues/dravidianlangtech/)**Samonwita Sarker, Isnat Mehrin Sami, Priyontee Mojumder, et al.*2026*
658. **[Structure Guided Retrieval-Augmented Generation for Factual Queries](https://md.research.elamur.ai/free/en/papers/xie-2026-structure-guided-retrieval-augmented-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miao Xie, Xiao Zhang, Yi Li, et al.*2026*
659. **[Structured Dialogue Refinement: Building Retrieval-Augmented Question Answering on Goal-Oriented Dialogues](https://md.research.elamur.ai/free/en/papers/wu-2026-structured-dialogue-refinement-building-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bin Wu, Sawan Kumar, Prasetya Ajie Utama, et al.*2026*
660. **[Structured Episodic Event Memory](https://md.research.elamur.ai/free/en/papers/lu-2026-structured-episodic-event-memory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxuan Lu, Dongfang Li, Yukun Shi, et al.*2026*
661. **[Supporting human operators during customer service interactions with agentic-RAG](https://md.research.elamur.ai/free/en/papers/valenzuela-2026-supporting-human-operators-during-customer/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Juan Barrionuevo-Valenzuela, Daniel Calderón-González, Zoraida Callejas, et al.*2026*
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