---
title: "Dragomir Radev — all works — Elamur Research"
description: "All 48 works of Dragomir Radev in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/dragomir-radev/works/"
---
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# Dragomir Radev — all works

48 works · [← Dragomir Radev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/)

1. **[LexRank: Graph-based Lexical Centrality as Salience in Text Summarization](https://md.research.elamur.ai/free/en/papers/erkan-2011-lexrank-graph-based-lexical-centrality/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Gunes Erkan, Dragomir R. Radev*2004 · 1,719 citations*
2. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations*
3. **[Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Kai Yang, et al.*2018 · 1,602 citations*
4. **[SummEval: Re-evaluating Summarization Evaluation ↗](https://aclanthology.org/2021.tacl-1.24/) Transactions of the Association for Computational Linguistics · no summary yet**Alexander R. Fabbri et al.*2021 · 1,059 citations*
5. **[Rumor has it: Identifying Misinformation in Microblogs](https://md.research.elamur.ai/free/en/papers/qazvinian-2011-rumor-has-it-identifying-misinformation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, et al.*2011 · 772 citations*
6. **[Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model](https://md.research.elamur.ai/free/en/papers/fabbri-2019-multi-news-large-scale-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexander Fabbri, Irene Li, Tianwei She, et al.*2019 · 750 citations*
7. [**Crosslingual Generalization through Multitask Finetuning arXiv:2211.01786**Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.*2022 · 703 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-crosslingual-generalization-through-multitask-finetuning/)
8. **[QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 404 citations*
9. **[MEAD - A Platform for Multidocument Multilingual Text Summarization](https://md.research.elamur.ai/free/en/papers/radev-2004-mead-platform-multidocument-multilingual-text/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, et al.*2004 · 400 citations*
10. **[The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics](https://md.research.elamur.ai/free/en/papers/bird-2008-acl-anthology-reference-corpus-reference/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Steven Bird, Robert Dale, Bonnie Dorr, et al.*2008 · 368 citations*
11. **[BRIO: Bringing Order to Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Liu, Pengfei Liu, Dragomir Radev, et al.*2022 · 360 citations*
12. **[Improving Text-to-SQL Evaluation Methodology](https://md.research.elamur.ai/free/en/papers/dollak-2018-improving-text-sql-evaluation-methodology/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, et al.*2018 · 355 citations*
13. **[Graph-based Neural Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.*2017 · 351 citations*
14. **[Scientific Paper Summarization Using Citation Summary Networks](https://md.research.elamur.ai/free/en/papers/qazvinian-2008-scientific-paper-summarization-citation-summary/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Vahed Qazvinian, Dragomir R. Radev*2008 · 337 citations*
15. **[TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation](https://md.research.elamur.ai/free/en/papers/yu-2018-typesql-knowledge-based-type-aware/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tao Yu, Zifan Li, Zilin Zhang, et al.*2018 · 303 citations*
16. **[ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks ↗](https://doi.org/10.1609/aaai.v33i01.33017386) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Michihiro Yasunaga et al.*2019 · 274 citations*
17. **[SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task ↗](https://aclanthology.org/D18-1193/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tao Yu et al.*2018 · 255 citations*
18. **[BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization ↗](https://aclanthology.org/2022.findings-emnlp.488/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Wojciech Kryscinski et al.*2022 · 217 citations*
19. **[Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies](https://md.research.elamur.ai/free/en/papers/radev-2000-centroid-based-summarization-multiple-documents/) [NAACL-ANLP Workshop: Automatic Summarization](https://md.research.elamur.ai/free/en/venues/naacl-anlp-workshop-automatic-summarization/)**Dragomir R. Radev, Hongyan Jing, Malgorzata Budzikowska*2000 · 190 citations*
20. **[Robust Multilingual Part-of-Speech Tagging via Adversarial Training ↗](https://aclanthology.org/N18-1089/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Michihiro Yasunaga, Jungo Kasai, Dragomir Radev*2018 · 187 citations*
21. **[RealTime QA: What's the Answer Right Now?](https://md.research.elamur.ai/free/en/papers/kasai-2022-realtime-qa-s-answer-right/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.*2022 · 181 citations*
22. **[Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions](https://md.research.elamur.ai/free/en/papers/zhang-2019-editing-based-sql-query-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rui Zhang, Tao Yu, Heyang Er, et al.*2019 · 177 citations*
23. [**Binding Language Models in Symbolic Languages arXiv:2210.02875**Zhoujun Cheng, Tianbao Xie, Peng Shi, et al.*2022 · 170 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/)
24. [**DART: Open-Domain Structured Data Record to Text Generation arXiv:2007.02871**Linyong Nan, Dragomir Radev, Rui Zhang, et al.*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/)
25. **[Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents ↗](https://aclanthology.org/N16-1177/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Rui Zhang, Honglak Lee, Dragomir R. Radev*2016 · 152 citations*
26. **[GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing ↗](https://arxiv.org/abs/2009.13845) arXiv (Cornell University) · no summary yet**Tao Yu et al.*2020 · 147 citations*
27. [**ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics arXiv:2302.12433**Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-proofnet-autoformalizing-formally-proving-undergraduate/)
28. **[You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings](https://md.research.elamur.ai/free/en/papers/talat-2022-you-reap-what-you-sow/) [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/)**Zeerak Talat, Aurélie Névéol, Stella Biderman, et al.*2022 · 130 citations*
29. [**LEVER: Learning to Verify Language-to-Code Generation with Execution arXiv:2302.08468**Ansong Ni, Srini Iyer, Dragomir Radev, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/ni-2023-lever-learning-verify-language-code/)
30. **[DocNLI: A Large-scale Dataset for Document-level Natural Language Inference](https://md.research.elamur.ai/free/en/papers/yin-2021-docnli-large-scale-dataset-document/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenpeng Yin, Dragomir Radev, Caiming Xiong*2021 · 121 citations*
31. [**Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation arXiv:2212.07981**Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.*2022 · 117 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/)
32. **[COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization ↗](https://doi.org/10.1038/s41746-021-00437-0) npj Digital Medicine · no summary yet**Andre Esteva et al.*2021 · 112 citations*
33. **[Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation ↗](https://aclanthology.org/2021.naacl-main.57/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Alexander Fabbri et al.*2021 · 110 citations*
34. **[On Learning to Summarize with Large Language Models as References](https://md.research.elamur.ai/free/en/papers/liu-2024-learning-summarize-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yixin Liu, Kejian Shi, Katherine He, et al.*2024 · 94 citations*
35. **[Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start ↗](https://aclanthology.org/2020.emnlp-main.660/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Wenpeng Yin et al.*2020 · 84 citations*
36. **[Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 84 citations*
37. **[Generating Natural Language Summaries from Multiple On-Line Sources](https://md.research.elamur.ai/free/en/papers/radev-1998-generating-natural-language-summaries-multiple/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dragomir R. Radev, Kathleen R. McKeown*1998 · 78 citations*
38. [**Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations arXiv:2303.18027**Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, et al.*2023 · 77 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2023-evaluating-gpt-4-chatgpt-japanese/)
39. **[Identifying Opinion Subgroups in Arabic Online Discussions](https://md.research.elamur.ai/free/en/papers/jbara-2013-identifying-opinion-subgroups-arabic-online/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Amjad Abu-Jbara, Ben King, Mona Diab, et al.*2013 · 77 citations*
40. **[Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation ↗](https://aclanthology.org/2023.acl-long.228/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yixin Liu et al.*2023 · 60 citations*
41. **[Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization ↗](https://arxiv.org/abs/2311.09184) arXiv:2311.09184 · no summary yet**Yixin Liu et al.*2023 · 59 citations*
42. **[CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization ↗](https://arxiv.org/abs/2006.09595) arXiv (Cornell University) · no summary yet**Andre Esteva et al.*2020 · 42 citations*
43. **[Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions ↗](https://arxiv.org/abs/2205.14318) arXiv:2205.14318 · no summary yet**Ansong Ni et al.*2022 · 39 citations*
44. **[MACSum: Controllable Summarization with Mixed Attributes](https://md.research.elamur.ai/free/en/papers/zhang-2023-macsum-controllable-summarization-mixed-attributes/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yusen Zhang, Yang Liu, Ziyi Yang, et al.*2023 · 37 citations*
45. **[Adding Syntax to Dynamic Programming for Aligning Comparable Texts for the Generation of Paraphrases ↗](https://aclanthology.org/P06-2096/) Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions · no summary yet**Siwei Shen et al.*2006 · 31 citations*
46. **[ESPRIT: Explaining Solutions to Physical Reasoning Tasks ↗](https://aclanthology.org/2020.acl-main.706/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Nazneen Fatema Rajani et al.*2020 · 18 citations*
47. **[Tagging French Without Lexical Probabilities — Combining Linguistic Knowledge And Statistical Learning ↗](https://arxiv.org/abs/cmp-lg/9710002) arXiv:cmp-lg/9710002 · no summary yet**Evelyne Tzoukermann, Dragomir R. Radev, William A. Gale*1997 · 8 citations*
48. **[Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Normalization in Filipino ↗](https://aclanthology.org/2022.sustainlp-1.5/) Proceedings of the Third Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) · no summary yet**Lorenzo Jaime Flores, Dragomir Radev*2022*