--- title: "Information Systems — papers, page 4" description: "Information Systems: 402 papers of the Elamur Research library · page 4 of 5 · 226–325, the most cited first — our summary of each, its ideas, references…" canonical: "https://research.elamur.ai/free/en/shelves/computer-science/information-systems/page/4/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/information-systems/page/4/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / [Information Systems](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) / page 4 # 🗄️ Information Systems 402 papers · page 4 of 5 · 226–325 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Information Systems is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Information Retrieval and Search Behavior», «Software Engineering Research», «Recommender Systems and Techniques». ## Papers [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/3/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) [2](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/3/) **4** [5](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/5/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/5/) 226. [**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/) 227. [**The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task**Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, et al.*2021 · 178 citations*](https://md.research.elamur.ai/free/en/papers/aly-2021-fact-extraction-verification-over-unstructured/) 228. [**ToolQA: A Dataset for LLM Question Answering with External Tools**Yuchen Zhuang, Yue Yu, Kuan Wang, et al.*2023 · 177 citations*](https://md.research.elamur.ai/free/en/papers/zhuang-2023-toolqa-dataset-llm-question-answering/) 229. [**AlphaEvolve: A coding agent for scientific and algorithmic discovery**Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.*2025 · 176 citations*](https://md.research.elamur.ai/free/en/papers/novikov-2025-alphaevolve-coding-agent-scientific-algorithmic/) 230. [**RealTime QA: What's the Answer Right Now?**Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2022-realtime-qa-s-answer-right/) 231. [**A-MEM: Agentic Memory for LLM Agents**Wujiang Xu, Zujie Liang, Kai Mei, et al.*2025 · 171 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-mem-agentic-memory-llm-agents/) 232. [**KernelBench: Can LLMs Write Efficient GPU Kernels?**Anne Ouyang, Simon Guo, Simran Arora, et al.*2025 · 170 citations*](https://md.research.elamur.ai/free/en/papers/ouyang-2025-kernelbench-llms-write-efficient-gpu/) 233. [**Learning to Compress Prompts with Gist Tokens**Jesse Mu, Xiang Lisa Li, Noah Goodman*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/mu-2023-learning-compress-prompts-gist-tokens/) 234. [**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/) 235. [**WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models**Hongliang He, Wenlin Yao, Kaixin Ma, et al.*2024 · 168 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-webvoyager-building-end-end-web/) 236. [**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/) 237. [**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/) 238. [**Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts**Jian Xie, Kai Zhang, Jiangjie Chen, et al.*2023 · 165 citations*](https://md.research.elamur.ai/free/en/papers/xie-2023-adaptive-chameleon-stubborn-sloth-revealing/) 239. [**Dirt Cheap Web-Scale Parallel Text from the Common Crawl**Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, et al.*2013 · 165 citations*](https://md.research.elamur.ai/free/en/papers/smith-2013-dirt-cheap-web-scale-parallel/) 240. [**SantaCoder: don't reach for the stars!**Loubna Ben Allal, Raymond Li, Denis Kocetkov, et al.*2023 · 164 citations*](https://md.research.elamur.ai/free/en/papers/allal-2023-santacoder-don-t-reach-stars/) 241. [**BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions**Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.*2024 · 163 citations*](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/) 242. [**DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications**Wei He, Kai Liu, Jing Liu, et al.*2017 · 163 citations*](https://md.research.elamur.ai/free/en/papers/he-2017-dureader-chinese-machine-reading/) 243. [**L-Eval: Instituting Standardized Evaluation for Long Context Language Models**Chenxin An, Shansan Gong, Ming Zhong, et al.*2023 · 159 citations*](https://md.research.elamur.ai/free/en/papers/an-2023-l-eval-instituting-standardized-evaluation/) 244. [**LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression**Huiqiang Jiang, Qianhui Wu, Xufang Luo, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-longllmlingua-accelerating-enhancing-llms-long/) 245. [**VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks**Jing Yu Koh, Robert Lo, Lawrence Jang, et al.*2024 · 156 citations*](https://md.research.elamur.ai/free/en/papers/koh-2024-visualwebarena-evaluating-multimodal-agents-realistic/) 246. [**Unsupervised Translation of Programming Languages**Marie-Anne Lachaux, Baptiste Roziere, Lowik Chanussot, et al.*2020 · 156 citations*](https://md.research.elamur.ai/free/en/papers/lachaux-2020-unsupervised-translation-programming-languages/) 247. [**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/) 248. [**Towards a Cleaner Document-Oriented Multilingual Crawled Corpus**Julien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.*2022 · 154 citations*](https://md.research.elamur.ai/free/en/papers/abadji-2022-towards-cleaner-document-oriented-multilingual/) 249. [**AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators**Xingwei He, Zhenghao Lin, Yeyun Gong, et al.*2023 · 150 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/) 250. [**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/) 251. [**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/) 252. [**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/) 253. [**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/) 254. [**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/) 255. [**Executable Code Actions Elicit Better LLM Agents**Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.*2024 · 143 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-executable-code-actions-elicit-better/) 256. [**R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning**Huatong Song, Jinhao Jiang, Yingqian Min, et al.*2025 · 137 citations*](https://md.research.elamur.ai/free/en/papers/song-2025-r1-searcher-incentivizing-search/) 257. [**RAFT: Adapting Language Model to Domain Specific RAG**Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-raft-adapting-language-model-domain/) 258. [**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/) 259. [**GPT-4V(ision) is a Generalist Web Agent, if Grounded**Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.*2024 · 130 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2024-gpt-4v-ision-generalist-web/) 260. [**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/) 261. [**MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems**Jakub Macina, Nico Daheim, Sankalan Chowdhury, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/macina-2023-mathdial-dialogue-tutoring-dataset-rich/) 262. [**ParaCrawl: Web-scale parallel corpora for the languages of the EU**Miquel Esplà, Mikel Forcada, Gema Ramírez-Sánchez, et al.*2019 · 130 citations*](https://md.research.elamur.ai/free/en/papers/espla-2019-paracrawl-web-scale-parallel-corpora/) 263. [**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/) 264. [**Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models**Yijia Shao, Yucheng Jiang, Theodore Kanell, et al.*2024 · 126 citations*](https://md.research.elamur.ai/free/en/papers/shao-2024-assisting-writing-wikipedia-like-articles/) 265. [**SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents**Kanzhi Cheng, Qiushi Sun, Yougang Chu, et al.*2024 · 125 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2024-seeclick-harnessing-gui-grounding-advanced/) 266. [**Nomic Embed: Training a Reproducible Long Context Text Embedder**Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/) 267. [**τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains**Shunyu Yao, Noah Shinn, Pedram Razavi, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/yao-2024-tau-bench-benchmark-tool/) 268. [**LEVER: Learning to Verify Language-to-Code Generation with Execution**Ansong Ni, Srini Iyer, Dragomir Radev, et al.*2023 · 122 citations*](https://md.research.elamur.ai/free/en/papers/ni-2023-lever-learning-verify-language-code/) 269. [**Automated evaluation of written discourse coherence using GPT-4**Ben Naismith, Phoebe Mulcaire, Jill Burstein*2023 · 120 citations*](https://md.research.elamur.ai/free/en/papers/naismith-2023-automated-evaluation-written-discourse-coherence/) 270. [**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/) 271. [**TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification**Wenpeng Yin, Dan Roth*2018 · 114 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-twowingos-two-wing-optimization-strategy/) 272. [**CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution**Alex Gu, Baptiste Rozière, Hugh Leather, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-cruxeval-benchmark-code-reasoning-understanding/) 273. [**Crowdsourcing Question-Answer Meaning Representations**Julian Michael, Gabriel Stanovsky, Luheng He, et al.*2018 · 112 citations*](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/) 274. [**V-STaR: Training Verifiers for Self-Taught Reasoners**Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.*2024 · 111 citations*](https://md.research.elamur.ai/free/en/papers/hosseini-2024-v-star-training-verifiers-self/) 275. [**ExpertQA: Expert-Curated Questions and Attributed Answers**Chaitanya Malaviya, Subin Lee, Sihao Chen, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/) 276. [**DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments**Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.*2025 · 108 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2025-deepresearcher-scaling-deep-research-reinforcement/) 277. [**ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models**Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/baek-2024-researchagent-iterative-research-idea/) 278. [**Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs**Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.*2024 · 104 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-skywork-reward-bag-tricks/) 279. [**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/) 280. [**UI-TARS: Pioneering Automated GUI Interaction with Native Agents**Yujia Qin, Yining Ye, Junjie Fang, et al.*2025 · 101 citations*](https://md.research.elamur.ai/free/en/papers/qin-2025-ui-tars-pioneering-automated/) 281. [**MAmmoTH2: Scaling Instructions from the Web**Xiang Yue, Tuney Zheng, Ge Zhang, et al.*2024 · 94 citations*](https://md.research.elamur.ai/free/en/papers/yue-2024-mammoth2-scaling-instructions-web/) 282. [**Arabic Fake News Detection Based on Deep Contextualized Embedding Models**Ali Bou Nassif, Ashraf Elnagar, Omar Elgendy, et al.*2022 · 90 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2022-arabic-fake-news-detection-based/) 283. [**GLM-5: from Vibe Coding to Agentic Engineering**Aohan Zeng, Xin Lv, Zhenyu Hou, et al.*2026 · 89 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-5-glm-5-vibe-coding/) 284. [**Building Large Corpora from the Web Using a New Efficient Tool Chain**Roland Schäfer, Felix Bildhauer*2012 · 86 citations*](https://md.research.elamur.ai/free/en/papers/schafer-2012-building-large-corpora-web-new/) 285. [**D4: Improving LLM Pretraining via Document De-Duplication and Diversification**Kushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.*2023 · 79 citations*](https://md.research.elamur.ai/free/en/papers/tirumala-2023-d4-improving-llm-pretraining-document/) 286. [**Importance of Pronominal Anaphora Resolution in Question Answering Systems**José L. Vicedo, Antonio Ferrández*2000 · 74 citations*](https://md.research.elamur.ai/free/en/papers/vicedo-2000-importance-pronominal-anaphora-resolution-question/) 287. [**Dynamic Coreference-Based Summarization**Breck Baldwin, Thomas S. Morton*1998 · 73 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-1998-dynamic-coreference-based-summarization/) 288. [**CREPE: Open-Domain Question Answering with False Presuppositions**Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al.*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/) 289. [**Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations*](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/) 290. [**Summarizing Online Forum Discussions – Can Dialog Acts of Individual Messages Help?**Sumit Bhatia, Prakhar Biyani, Prasenjit Mitra*2014 · 59 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2014-summarizing-online-forum-discussions-can/) 291. [**XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval**Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/khan-2024-xcodeeval-execution-based-large-scale/) 292. [**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/) 293. [**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/) 294. [**Getting the most out of your tokenizer for pre-training and domain adaptation**Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/dagan-2024-getting-most-out-tokenizer-pre/) 295. [**The Form is the Substance: Classification of Genres in Text**Nigel Dewdney, Carol VanEss-Dykema, Richard MacMillan*2001 · 41 citations*](https://md.research.elamur.ai/free/en/papers/dewdney-2001-form-is-substance-classification-genres/) 296. [**xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval**Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/khan-2023-xcodeeval-large-scale-multilingual-multitask/) 297. [**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/) 298. [**Using Coreference for Question Answering**Thomas S. Morton*1999 · 35 citations*](https://md.research.elamur.ai/free/en/papers/morton-1999-coreference-question-answering/) 299. [**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/) 300. [**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/) 301. [**Masader: Metadata Sourcing for Arabic Text and Speech Data Resources**Zaid Alyafeai, Maraim Masoud, Mustafa Ghaleb, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2022-masader-metadata-sourcing-arabic-text/) 302. [**IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions**Wenhao Yu, Meng Jiang, Peter Clark, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-ifqa-dataset-open-domain-question/) 303. [**Build Fast and Accurate Lemmatization for Arabic**Hamdy Mubarak*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2018-build-fast-accurate-lemmatization-arabic/) 304. [**Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims**Tamer Elsayed, Preslav Nakov, Alberto Barron-Cedeno, et al.*2019 · 23 citations*](https://md.research.elamur.ai/free/en/papers/elsayed-2021-overview-clef-2019-checkthat-automatic/) 305. [**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/) 306. [**AI-based Arabic Language and Speech Tutor**Sicong Shao, Saleem Alharir, Salim Hariri, et al.*2022 · 22 citations*](https://md.research.elamur.ai/free/en/papers/shao-2022-ai-based-arabic-language-speech/) 307. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model**Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/) 308. [**Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs**Firoj Alam, Md. Rafiul Biswas, Uzair Shah, et al.*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/alam-2024-propaganda-hate-multimodal-analysis-arabic/) 309. [**AR-ASAG An ARabic Dataset for Automatic Short Answer Grading Evaluation**Leila Ouahrani, Djamal Bennouar*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/ouahrani-2020-ar-asag-arabic-dataset-automatic/) 310. [**Identifying Broken Plurals in Unvowelised Arabic Text**Abduelbaset Goweder, Massimo Poesio, Anne De Roeck, et al.*2004 · 17 citations*](https://md.research.elamur.ai/free/en/papers/goweder-2004-identifying-broken-plurals-unvowelised-arabic/) 311. [**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/) 312. [**Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets**Yousef Altaher, Ali Fadel, Mazen Alotaibi, et al.*2022 · 16 citations*](https://md.research.elamur.ai/free/en/papers/altaher-2022-masader-plus-new-interface-exploring/) 313. [**AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset**Mohamed Seghir Hadj Ameur, Hassina Aliane*2021 · 16 citations*](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-mfh-arabic-covid-19/) 314. [**Evaluating Large Language Models for Health-related Queries with Presuppositions**Navreet Kaur, Monojit Choudhury, Danish Pruthi*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/kaur-2024-evaluating-large-language-models-health/) 315. [**Cross-document Event Coreference Search: Task, Dataset and Modeling**Alon Eirew, Avi Caciularu, Ido Dagan*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/eirew-2022-cross-document-event-coreference-search/) 316. [**Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions**Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, et al.*2019 · 15 citations*](https://md.research.elamur.ai/free/en/papers/al-bataineh-2019-deep-contextualized-pairwise-semantic-similarity/) 317. [**Answer Extraction for Why Arabic Questions Answering Systems: EWAQ**Fatima T. AL-Khawaldeh*2015 · 15 citations*](https://md.research.elamur.ai/free/en/papers/al-khawaldeh-2019-answer-extraction-why-arabic-questions/) 318. [**TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla**Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri*2026 · 13 citations*](https://md.research.elamur.ai/free/en/papers/raihan-2026-tigercoder-novel-suite-llms-code/) 319. [**HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark**Amir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/) 320. [**Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media**Nuha Albadi, Maram Kurdi, Shivakant Mishra*2019 · 13 citations*](https://md.research.elamur.ai/free/en/papers/albadi-2019-hateful-people-hateful-bots-detection/) 321. [**Chinchilla Scaling: A replication attempt**Tamay Besiroglu, Ege Erdil, Matthew Barnett, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/besiroglu-2024-chinchilla-scaling-replication-attempt/) 322. [**How well can LLMs Grade Essays in Arabic?**Rayed Ghazawi, Edwin Simpson*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/ghazawi-2025-well-llms-grade-essays-arabic/) 323. [**Automated essay scoring in Arabic: a dataset and analysis of a BERT-based system**Rayed Ghazawi, Edwin Simpson*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/ghazawi-2024-automated-essay-scoring-arabic-dataset/) 324. [**WN-Salience: A Corpus of News Articles with Entity Salience Annotations**Chuan Wu, Evangelos Kanoulas, Maarten de Rijke, et al.*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-wn-salience-corpus-news-articles/) 325. [**The Hebrew Bible as Data: Laboratory – Sharing – Experiences**Dirk Roorda*2015 · 11 citations*](https://md.research.elamur.ai/free/en/papers/roorda-2015-hebrew-bible-data-laboratory-sharing/) [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/3/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) [2](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/3/) **4** [5](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/5/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/5/)