--- title: "Management Science and Operations Research — papers" description: "Management Science and Operations Research: 29 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each…" canonical: "https://research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Decision Sciences](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) / Management Science and Operations Research # 🎯 Management Science and Operations Research 29 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Management Science and Operations Research is a subfield of Decision Sciences in the OpenAlex classification of science. The topics most of its papers here are on: «Data Quality and Management», «Stock Market Forecasting Methods», «Psychometric Methodologies and Testing». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/page/2/) 1. [**Active Learning Literature Survey**Burr Settles*2009 · 4,889 citations*](https://md.research.elamur.ai/free/en/papers/settles-2009-active-learning-literature-survey/) 2. [**Attention-based LSTM for Aspect-level Sentiment Classification**Yequan Wang, Minlie Huang, Xiaoyan Zhu, et al.*2016 · 2,609 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-attention-based-lstm-aspect-level/) 3. [**Aspect Level Sentiment Classification with Deep Memory Network**Duyu Tang, Bing Qin, Ting Liu*2016 · 1,187 citations*](https://md.research.elamur.ai/free/en/papers/tang-2016-aspect-level-sentiment-classification-deep/) 4. [**Using Encyclopedic Knowledge for Named entity Disambiguation**Razvan Bunescu, Marius Paşca*2006 · 978 citations*](https://md.research.elamur.ai/free/en/papers/bunescu-2006-encyclopedic-knowledge-named-entity-disambiguation/) 5. [**Entity-Based Cross-Document Coreferencing Using the Vector Space Model**Amit Bagga, Breck Baldwin*1998 · 699 citations*](https://md.research.elamur.ai/free/en/papers/bagga-1998-entity-based-cross-document-coreferencing/) 6. [**Effective LSTMs for Target-Dependent Sentiment Classification**Duyu Tang, Bing Qin, Xiaocheng Feng, et al.*2016 · 693 citations*](https://md.research.elamur.ai/free/en/papers/tang-2016-effective-lstms-target-dependent-sentiment/) 7. [**BloombergGPT: A Large Language Model for Finance**Shijie Wu, Ozan Irsoy, Steven Lu, et al.*2023 · 608 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-bloomberggpt-large-language-model-finance/) 8. [**FinGPT: Open-Source Financial Large Language Models**Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang*2023 · 445 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-fingpt-open-source-financial-large/) 9. [**Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/) 10. [**AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback**Yann Dubois, Xuechen Li, Rohan Taori, et al.*2023 · 423 citations*](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/) 11. [**Entity Disambiguation for Knowledge Base Population**Mark Dredze, Paul McNamee, Delip Rao, et al.*2010 · 394 citations*](https://md.research.elamur.ai/free/en/papers/dredze-2010-entity-disambiguation-knowledge-base-population/) 12. [**A General Theoretical Paradigm to Understand Learning from Human Preferences**Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, et al.*2023 · 250 citations*](https://md.research.elamur.ai/free/en/papers/azar-2023-general-theoretical-paradigm-understand-learning/) 13. [**Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models**Sameer Singh, Amarnag Subramanya, Fernando Pereira, et al.*2011 · 151 citations*](https://md.research.elamur.ai/free/en/papers/singh-2011-large-scale-cross-document-coreference/) 14. [**SemDeDup: Data-efficient learning at web-scale through semantic deduplication**Amro Abbas, Kushal Tirumala, Dániel Simig, et al.*2023 · 94 citations*](https://md.research.elamur.ai/free/en/papers/abbas-2023-semdedup-data-efficient-learning-web/) 15. [**Streaming Cross Document Entity Coreference Resolution**Delip Rao, Paul McNamee, Mark Dredze*2010 · 67 citations*](https://md.research.elamur.ai/free/en/papers/rao-2010-streaming-cross-document-entity-coreference/) 16. [**Cross-Document Co-Reference Resolution using Sample-Based Clustering with Knowledge Enrichment**Sourav Dutta, Gerhard Weikum*2015 · 42 citations*](https://md.research.elamur.ai/free/en/papers/dutta-2015-cross-document-co-reference-resolution/) 17. [**Planning, Inference and Pragmatics in Sequential Language Games**Fereshte Khani, Noah D. Goodman, Percy Liang*2018 · 29 citations*](https://md.research.elamur.ai/free/en/papers/khani-2018-planning-inference-pragmatics-sequential-language/) 18. [**The Multidimensional Quality Metrics (MQM) Framework: a new framework for translation quality assessment**Valerie Mariana, Troy Cox, Alan Melby*2015 · 27 citations*](https://md.research.elamur.ai/free/en/papers/mariana-2015-multidimensional-quality-metrics-mqm-framework/) 19. [**ANETAC: Arabic Named Entity Transliteration and Classification Dataset**Mohamed Seghir Hadj Ameur, Farid Meziane, Ahmed Guessoum*2019 · 7 citations*](https://md.research.elamur.ai/free/en/papers/ameur-2019-anetac-arabic-named-entity-transliteration/) 20. [**Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching**Stephen Gadd*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gadd-2026-symphonym-universal-phonetic-embeddings-cross/) 21. [**The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete**Gerrit Großmann, Larisa Ivanova, Sai Leela Poduru, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gro-ssmann-2025-power-stories-narrative-priming-shapes/) 22. [**A Large-Scale Dataset for Linking-Based Geocoding**Hibiki Nakatani, Yuichiro Yasui, Ryosuke Wakamoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakatani-2026-large-scale-dataset-linking-based/) 23. [**CANDLE: CTC-based Arabic Noisy-character Deduplication using a Lightweight Encoder**Faris Alasmary, Taif Nono, Orjuwan Zaafarani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alasmary-2026-candle-ctc-based-arabic-noisy/) 24. [**CorSpell: Introducing a Semiautomatic Tool for Spelling Normalization in Brazilian Portuguese**Juliana Schoffen, Dennis Giovani Balreira, Elisa Marchioro Stumpf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schoffen-2026-corspell-introducing-semiautomatic-tool-spelling/) 25. [**Human-AI Annotation Error Auditing for Hebrew Diacritization with Frontier LLMs**Hillel Gershuni, Avi Shmidman*2026*](https://md.research.elamur.ai/free/en/papers/gershuni-2026-human-ai-annotation-error-auditing/) **1** [2](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/page/2/) Updated 23 October 2026 - [← previous subfield Information Systems and Management](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) - [next subfield → Statistics, Probability and Uncertainty](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) - [↑ back to Decision Sciences](https://md.research.elamur.ai/free/en/shelves/decision-sciences/)