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title: "Information retrieval & search — papers, page 2"
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# 🔍 Information retrieval & search

109 papers · page 2 of 2 · 26–109 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Finding the right documents: search engines, ranking, and retrieval for language models.

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26. [**Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 463 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/)
27. [**Benchmarking Retrieval-Augmented Generation for Medicine**Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.*2024 · 426 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/)
28. [**Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling**Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.*2021 · 425 citations*](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/)
29. [**Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering**Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.*2023 · 403 citations*](https://md.research.elamur.ai/free/en/papers/siriwardhana-2023-improving-domain-adaptation-retrieval-augmented/)
30. [**Query Rewriting in Retrieval-Augmented Large Language Models**Xinbei Ma, Yeyun Gong, Pengcheng He, et al.*2023 · 383 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/)
31. [**Retrieval Augmentation Reduces Hallucination in Conversation**Kurt Shuster, Spencer Poff, Moya Chen, et al.*2021 · 382 citations*](https://md.research.elamur.ai/free/en/papers/shuster-2021-retrieval-augmentation-reduces-hallucination-conversation/)
32. [**Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity**Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.*2024 · 381 citations*](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/)
33. [**Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy**Zhihong Shao, Yeyun Gong, Yelong Shen, et al.*2023 · 381 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/)
34. [**Query2doc: Query Expansion with Large Language Models**Liang Wang, Nan Yang, Furu Wei*2023 · 353 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-query2doc-query-expansion-large-language/)
35. [**Large Language Models for Information Retrieval: A Survey**Yutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen*2023 · 335 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-large-language-models-information-retrieval/)
36. [**Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval**Luyu Gao, Jamie Callan*2022 · 328 citations*](https://md.research.elamur.ai/free/en/papers/gao-2022-unsupervised-corpus-aware-language-model/)
37. [**Document Expansion by Query Prediction**Rodrigo Nogueira, Wei Yang, Jimmy Lin, et al.*2019 · 317 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2019-document-expansion-query-prediction/)
38. [**LightRAG: Simple and Fast Retrieval-Augmented Generation**Zirui Guo, Lianghao Xia, Yanhua Yu, et al.*2024 · 315 citations*](https://md.research.elamur.ai/free/en/papers/guo-2024-lightrag-simple-fast-retrieval-augmented/)
39. [**Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models**Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.*2025 · 313 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-qwen3-embedding-advancing-text/)
40. [**Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense**Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.*2023 · 304 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/)
41. [**Learning Dense Representations for Entity Retrieval**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/)
42. [**Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning**Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.*2025 · 303 citations*](https://md.research.elamur.ai/free/en/papers/jin-2025-search-r1-training-llms-reason/)
43. [**Evaluating Verifiability in Generative Search Engines**Nelson Liu, Tianyi Zhang, Percy Liang*2023 · 294 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-verifiability-generative-search-engines/)
44. [**Ragas: Automated Evaluation of Retrieval Augmented Generation**Shahul Es, Jithin James, Luis Espinosa-Anke, et al.*2023 · 280 citations*](https://md.research.elamur.ai/free/en/papers/es-2023-ragas-automated-evaluation-retrieval-augmented/)
45. [**Generate rather than Retrieve: Large Language Models are Strong Context Generators**Wenhao Yu, Dan Iter, Shuohang Wang, et al.*2022 · 280 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-generate-rather-than-retrieve-large/)
46. [**Large Dual Encoders Are Generalizable Retrievers**Jianmo Ni, Chen Qu, Jing Lu, et al.*2021 · 276 citations*](https://md.research.elamur.ai/free/en/papers/ni-2021-large-dual-encoders-generalizable-retrievers/)
47. [**Corrective Retrieval Augmented Generation**Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.*2024 · 271 citations*](https://md.research.elamur.ai/free/en/papers/yan-2024-corrective-retrieval-augmented-generation/)
48. [**Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering**Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.*2019 · 271 citations*](https://md.research.elamur.ai/free/en/papers/asai-2019-learning-retrieve-reasoning-paths-over/)
49. [**BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models**Nandan Thakur, Nils Reimers, Andreas Rücklé, et al.*2021 · 262 citations*](https://md.research.elamur.ai/free/en/papers/thakur-2021-beir-heterogenous-benchmark-zero/)
50. [**Condenser: a Pre-training Architecture for Dense Retrieval**Luyu Gao, Jamie Callan*2021 · 261 citations*](https://md.research.elamur.ai/free/en/papers/gao-2021-condenser-pre-training-architecture-dense/)
51. [**RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking**Ruiyang Ren, Yingqi Qu, Jing Liu, et al.*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/ren-2021-rocketqav2-joint-training-method-dense/)
52. [**Fine-Tuning LLaMA for Multi-Stage Text Retrieval**Xueguang Ma, Liang Wang, Nan Yang, et al.*2023 · 254 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-fine-tuning-llama-multi-stage/)
53. [**LeanDojo: Theorem Proving with Retrieval-Augmented Language Models**Kaiyu Yang, Aidan M. Swope, Alex Gu, et al.*2023 · 248 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-leandojo-theorem-proving-retrieval-augmented/)
54. [**mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval**Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/)
55. [**G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering**Xiaoxin He, Yijun Tian, Yifei Sun, et al.*2024 · 234 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)
56. [**Adaptation of the translation model for statistical machine translation based on information retrieval**Almut Silja Hildebrand, Matthias Eck, Stephan Vogel, et al.*2005 · 230 citations*](https://md.research.elamur.ai/free/en/papers/hildebrand-2005-adaptation-translation-model-statistical-machine/)
57. [**Hurdles to Progress in Long-form Question Answering**Kalpesh Krishna, Aurko Roy, Mohit Iyyer*2021 · 227 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2021-hurdles-progress-long-form-question/)
58. [**Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking**Tsung-Hsien Wen, Milica Gašić, Dongho Kim, et al.*2015 · 212 citations*](https://md.research.elamur.ai/free/en/papers/wen-2015-stochastic-language-generation-dialogue-recurrent/)
59. [**Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP**Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.*2022 · 211 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/)
60. [**XOR QA: Cross-lingual Open-Retrieval Question Answering**Akari Asai, Jungo Kasai, Jonathan Clark, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/)
61. [**RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models**Cheng Niu, Yuanhao Wu, Juno Zhu, et al.*2024 · 204 citations*](https://md.research.elamur.ai/free/en/papers/niu-2024-ragtruth-hallucination-corpus-developing-trustworthy/)
62. [**Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity**Julie Weeds, David Weir*2005 · 198 citations*](https://md.research.elamur.ai/free/en/papers/weeds-2005-co-occurrence-retrieval-flexible-framework/)
63. [**Improving Passage Retrieval with Zero-Shot Question Generation**Devendra Sachan, Mike Lewis, Mandar Joshi, et al.*2022 · 197 citations*](https://md.research.elamur.ai/free/en/papers/sachan-2022-improving-passage-retrieval-zero-shot/)
64. [**Retrieval of the Best Counterargument without Prior Topic Knowledge**Henning Wachsmuth, Shahbaz Syed, Benno Stein*2018 · 196 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2018-retrieval-best-counterargument-without-prior/)
65. [**Making Retrieval-Augmented Language Models Robust to Irrelevant Context**Ori Yoran, Tomer Wolfson, Ori Ram, et al.*2023 · 193 citations*](https://md.research.elamur.ai/free/en/papers/yoran-2023-making-retrieval-augmented-language-models/)
66. [**RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval**Parth Sarthi, Salman Abdullah, Aditi Tuli, et al.*2024 · 191 citations*](https://md.research.elamur.ai/free/en/papers/sarthi-2024-raptor-recursive-abstractive-processing-tree/)
67. [**Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction**Antonio Di Marco, Roberto Navigli*2013 · 184 citations*](https://md.research.elamur.ai/free/en/papers/marco-2013-clustering-diversifying-web-search-results/)
68. [**Re2G: Retrieve, Rerank, Generate**Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.*2022 · 183 citations*](https://md.research.elamur.ai/free/en/papers/glass-2022-re2g-retrieve-rerank-generate/)
69. [**Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity**Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.*2023 · 169 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-survey-factuality-large-language-models/)
70. [**Simple Entity-Centric Questions Challenge Dense Retrievers**Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, et al.*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/sciavolino-2021-simple-entity-centric-questions-challenge/)
71. [**Promptagator: Few-shot Dense Retrieval From 8 Examples**Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.*2022 · 167 citations*](https://md.research.elamur.ai/free/en/papers/dai-2022-promptagator-few-shot-dense-retrieval/)
72. [**GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval**Kexin Wang, Nandan Thakur, Nils Reimers, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-gpl-generative-pseudo-labeling-unsupervised/)
73. [**CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering**Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/wiratunga-2024-cbr-rag-case-based-reasoning/)
74. [**Generation-Augmented Retrieval for Open-domain Question Answering**Yuning Mao, Pengcheng He, Xiaodong Liu, et al.*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/)
75. [**Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models**Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.*2024 · 149 citations*](https://md.research.elamur.ai/free/en/papers/yu-2024-chain-note-enhancing-robustness-retrieval/)
76. [**MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages**Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.*2023 · 148 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-miracl-multilingual-retrieval-dataset-covering/)
77. [**RA-DIT: Retrieval-Augmented Dual Instruction Tuning**Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/lin-2023-ra-dit-retrieval-augmented-dual/)
78. [**Unified Demonstration Retriever for In-Context Learning**Xiaonan Li, Kai Lv, Hang Yan, et al.*2023 · 144 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/)
79. [**Task-aware Retrieval with Instructions**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 131 citations*](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/)
80. [**FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation**Tu Vu, Mohit Iyyer, Xuezhi Wang, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/vu-2023-freshllms-refreshing-large-language-models/)
81. [**Retrieval meets Long Context Large Language Models**Peng Xu, Wei Ping, Xianchao Wu, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-retrieval-meets-long-context-large/)
82. [**RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation**Fangyuan Xu, Weijia Shi, Eunsol Choi*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-recomp-improving-retrieval-augmented-lms/)
83. [**DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads**Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2024-duoattention-efficient-long-context-llm/)
84. [**MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries**Yixuan Tang, Yi Yang*2024 · 103 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-multihop-rag-benchmarking-retrieval-augmented/)
85. [**ArabicaQA: A Comprehensive Dataset for Arabic Question Answering**Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla, et al.*2024 · 47 citations*](https://md.research.elamur.ai/free/en/papers/abdallah-2024-arabicaqa-comprehensive-dataset-arabic-question/)
86. [**Bridging the Preference Gap between Retrievers and LLMs**Zixuan Ke, Weize Kong, Cheng Li, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/ke-2024-bridging-preference-gap-between-retrievers/)
87. [**OG-RAG: Ontology-grounded retrieval-augmented generation for large language models**Kartik Sharma, Peeyush Kumar, Yunqing Li*2025 · 37 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2025-og-rag-ontology-grounded-retrieval/)
88. [**Using Coreference for Question Answering**Thomas S. Morton*1999 · 35 citations*](https://md.research.elamur.ai/free/en/papers/morton-1999-coreference-question-answering/)
89. [**An Accurate Arabic Root-Based Lemmatizer for Information Retrieval Purposes**Tarek El-Shishtawy, Fatma El-Ghannam*2012 · 30 citations*](https://md.research.elamur.ai/free/en/papers/el-shishtawy-2012-accurate-arabic-root-based-lemmatizer/)
90. [**BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence**Jiajie Jin, Yutao Zhu, Yujia Zhou, et al.*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/jin-2024-bider-bridging-knowledge-inconsistency-efficient/)
91. [**Exploring Retrieval Augmented Generation in Arabic**Samhaa R. El-Beltagy, Mohamed A. Abdallah*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/el-beltagy-2024-exploring-retrieval-augmented-generation-arabic/)
92. [**STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-stander-expert-annotated-dataset-news/)
93. [**Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting**Emmy Liu, Aditi Chaudhary, Graham Neubig*2023 · 17 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-crossing-threshold-idiomatic-machine-translation/)
94. [**Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval**Tianyi Hu, Maria Maistro, Daniel Hershcovich*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/hu-2024-bridging-cultures-kitchen-framework-benchmark/)
95. [**Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models**Mohamed Basem; Islam Oshallah; Baraa Hikal; Ali Hamdi;, Ammar Mohamed*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/basem-2024-optimized-quran-passage-retrieval-using/)
96. [**An Accuracy-Enhanced Stemming Algorithm for Arabic Information Retrieval**Sadik Bessou, Mohamed Touahria*2019 · 5 citations*](https://md.research.elamur.ai/free/en/papers/bessou-2019-accuracy-enhanced-stemming-algorithm-arabic/)
97. [**A Morphological, Syntactic and Semantic Search Engine for Hebrew Texts**Uzzi Ornan*2002 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ornan-2002-morphological-syntactic-semantic-search-engine/)
98. [**Enhanced Arabic Text Retrieval with Attentive Relevance Scoring**Salah Eddine Bekhouche, Azeddine Benlamoudi, Yazid Bounab, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/bekhouche-2025-enhanced-arabic-text-retrieval-attentive/)
99. [**Gretino: A Greek and Latin Dataset to Benchmark Retrieval Systems in Classical Languages**Hawau Olamide Toyin, Federico Iezzi, Elia Scapini, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/toyin-2026-gretino-greek-latin-dataset-benchmark/)
100. [**Dense Retrieval for Low Resource Languages — the Case of Amharic Language**Tilahun Yeshambel, Moncef Garouani, Serge Molina, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yeshambel-2025-dense-retrieval-low-resource-languages/)
101. [**AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications**Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-accuraterag-framework-building-accurate-retrieval/)
102. [**Bounded Conversational Memory with Hybrid Retrieval and Evidence Highlighting for Multi-Session Dialogue Systems**Manasa Mudunuri, Chandra Kiran Guntupalli, Shiraj Pokharel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mudunuri-2026-bounded-conversational-memory-hybrid-retrieval/)
103. [**Evaluating the Retrieval Component in a Retrieval-Augmented Summarization System for Patient Records in French**Marco Naguib, Christel Gérardin, Victor Beaucoté, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naguib-2026-evaluating-retrieval-component-retrieval-augmented/)
104. [**Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and Hadith**Somaya Eltanbouly, Samer Rashwani*2026*](https://md.research.elamur.ai/free/en/papers/eltanbouly-2026-grounding-arabic-llms-doha-historical/)
105. [**RBR: RAG-Based Open-Domain Question Answering Using a Ranking Approach to Document Retrieval**Priyatam Sai Naravajhula, Vincent Ng*2026*](https://md.research.elamur.ai/free/en/papers/naravajhula-2026-rbr-rag-based-open-domain/)
106. [**Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic Perspective**Tianyi Zhang, David Traum*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-rethinking-evaluation-retrieval-augmented-personalized/)
107. [**SearchLLM: Detecting LLM Paraphrased Text by Measuring the Similarity with Regeneration of the Candidate Source via Search Engine**Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu*2026*](https://md.research.elamur.ai/free/en/papers/son-2026-searchllm-detecting-llm-paraphrased-text/)
108. [**Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/)
109. [**Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/)

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