Elamur Research⌕
☰
home / authors / Mustafa Suleyman / cited by / page 2

Who cites Mustafa Suleyman

1,631 citations of their works from 1,631 papers of our library (of the 149,439 whose bibliographies we read) · 321 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Mustafa Suleyman

1 2 3 4

  1. Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.2023 · 403 citations
  2. TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in FinanceAnnual Meeting of the Association for Computational Linguistics (ACL)Fengbin Zhu, Wenqiang Lei, Youcheng Huang, et al.2021 · 397 citations
  3. Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General AgentsJournal of Artificial Intelligence ResearchMarlos C. Machado, Marc G. Bellemare, Erik Talvitie, et al.2017 · 393 citations
  4. Text Understanding with the Attention Sum Reader NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.2016 · 390 citations
  5. Evaluation of Text Generation: A SurveyarXiv:2006.14799Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao2020 · 388 citations
  6. ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading ComprehensionarXiv:1810.12885Sheng Zhang, Xiaodong Liu, Jingjing Liu, et al.2018 · 388 citations
  7. CMMLU: Measuring massive multitask language understanding in ChinesearXiv:2306.09212Haonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 387 citations
  8. Discourse-Aware Neural Extractive Text SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiacheng Xu, Zhe Gan, Yu Cheng, et al.2019 · 385 citations
  9. Heterogeneous Graph Neural Networks for Extractive Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Danqing Wang, Pengfei Liu, Yining Zheng, et al.2020 · 370 citations
  10. The GEM Benchmark: Natural Language Generation, its Evaluation and MetricsWorkshop on Generation, Evaluation and Metrics (GEM)Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.2021 · 369 citations
  11. Identifying and Reducing Gender Bias in Word-Level Language ModelsarXiv:1904.03035Shikha Bordia, Samuel R. Bowman2019 · 367 citations
  12. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular BenchmarksDivyansh Kaushik, Zachary C. Lipton2018 · 364 citations
  13. BRIO: Bringing Order to Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 360 citations
  14. Question Answering on Freebase via Relation Extraction and Textual EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Xu, Siva Reddy, Yansong Feng, et al.2016 · 360 citations
  15. FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Esin Durmus, He He, Mona Diab2020 · 359 citations
  16. Graph-based Neural Multi-Document SummarizationConference on Computational Natural Language Learning (CoNLL)Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.2017 · 351 citations
  17. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 347 citations
  18. SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu2021 · 341 citations
  19. DREAM: A Challenge Data Set and Models for Dialogue-Based Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Kai Sun, Dian Yu, Jianshu Chen, et al.2019 · 334 citations
  20. Unsupervised Pretraining for Sequence to Sequence LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Prajit Ramachandran, Peter Liu, Quoc Le2017 · 327 citations
  21. GSum: A General Framework for Guided Neural Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.2021 · 322 citations
  22. LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongfu Jiang, Xiang Ren, Bill Yuchen Lin2023 · 321 citations
  23. Explainable Automated Fact-Checking for Public Health ClaimsConference on Empirical Methods in Natural Language Processing (EMNLP)Neema Kotonya, Francesca Toni2020 · 314 citations
  24. Multi-hop Reading Comprehension through Question Decomposition and RescoringAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.2019 · 312 citations
  25. UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Li, Can Gao, Guocheng Niu, et al.2021 · 308 citations
  26. Muppet: Massive Multi-task Representations with Pre-FinetuningConference on Empirical Methods in Natural Language Processing (EMNLP)Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al.2021 · 307 citations
  27. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
  28. DialogSum: A Real-Life Scenario Dialogue Summarization DatasetFindings of the Association for Computational LinguisticsYulong Chen, Yang Liu, Liang Chen, et al.2021 · 301 citations
  29. QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 292 citations
  30. Constructing Datasets for Multi-hop Reading Comprehension Across DocumentsTransactions of the Association for Computational Linguistics (TACL)Johannes Welbl, Pontus Stenetorp, Sebastian Riedel2018 · 290 citations
  31. Ranking Sentences for Extractive Summarization with Reinforcement LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shashi Narayan, Shay B. Cohen, Mirella Lapata2018 · 290 citations
  32. emrQA: A Large Corpus for Question Answering on Electronic Medical RecordsConference on Empirical Methods in Natural Language Processing (EMNLP)Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.2018 · 289 citations
  33. Is ChatGPT a Good NLG Evaluator? A Preliminary StudyarXiv:2303.04048Jiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 287 citations
  34. TRUE: Re-evaluating Factual Consistency EvaluationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Or Honovich, Roee Aharoni, Jonathan Herzig, et al.2022 · 279 citations
  35. WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive SummarizationFindings of the Association for Computational LinguisticsFaisal Ladhak, Esin Durmus, Claire Cardie, et al.2020 · 275 citations
  36. Reinforced Mnemonic Reader for Machine Reading ComprehensionInternational Joint Conference on Artificial IntelligenceMinghao Hu, Yuxing Peng, Zhen Huang, et al.2017 · 273 citations
  37. Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense KnowledgeAnnual Meeting of the Association for Computational Linguistics (ACL)Todor Mihaylov, Anette Frank2018 · 263 citations
  38. TLDR: Extreme Summarization of Scientific DocumentsFindings of the Association for Computational LinguisticsIsabel Cachola, Kyle Lo, Arman Cohan, et al.2020 · 262 citations
  39. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shuyang Cao, Lu Wang2021 · 260 citations
  40. Re-evaluating Evaluation in Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 259 citations
  41. Automatic Text Scoring Using Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Dimitrios Alikaniotis, Helen Yannakoudakis, Marek Rei2016 · 259 citations
  42. Multi-Reward Reinforced Summarization with Saliency and EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ramakanth Pasunuru, Mohit Bansal2018 · 255 citations
  43. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  44. Sentence Centrality Revisited for Unsupervised SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zheng, Mirella Lapata2019 · 251 citations
  45. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkFindings of the Association for Computational LinguisticsOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 250 citations
  46. MSMO: Multimodal Summarization with Multimodal OutputConference on Empirical Methods in Natural Language Processing (EMNLP)Junnan Zhu, Haoran Li, Tianshang Liu, et al.2018 · 245 citations
  47. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
  48. Dynamically Fused Graph Network for Multi-hop ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lin Qiu, Yunxuan Xiao, Yanru Qu, et al.2019 · 239 citations
  49. BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Eva Sharma, Chen Li, Lu Wang2019 · 236 citations
  50. MultiQA: An Empirical Investigation of Generalization and Transfer in Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Alon Talmor, Jonathan Berant2019 · 236 citations
  51. Compositional Questions Do Not Necessitate Multi-hop ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Eric Wallace, Sameer Singh, et al.2019 · 235 citations
  52. Dialog State Tracking: A Neural Reading Comprehension ApproachAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Shuyang Gao, Abhishek Sethi, Sanchit Agarwal, et al.2019 · 234 citations
  53. Harvesting Paragraph-level Question-Answer Pairs from WikipediaAnnual Meeting of the Association for Computational Linguistics (ACL)Xinya Du, Claire Cardie2018 · 232 citations
  54. A Diagram Is Worth A Dozen ImagesarXiv:1603.07396Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.2016 · 231 citations
  55. Interpretation of Natural Language Rules in Conversational Machine ReadingConference on Empirical Methods in Natural Language Processing (EMNLP)Marzieh Saeidi, Max Bartolo, Patrick Lewis, et al.2018 · 230 citations
  56. Commonsense for Generative Multi-Hop Question Answering TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Lisa Bauer, Yicheng Wang, Mohit Bansal2018 · 229 citations
  57. Cross-topic Argument Mining from Heterogeneous SourcesConference on Empirical Methods in Natural Language Processing (EMNLP)Christian Stab, Tristan Miller, Benjamin Schiller, et al.2018 · 229 citations
  58. Searching for Effective Neural Extractive Summarization: What Works and What's NextAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Danqing Wang, et al.2019 · 225 citations
  59. Annotating and Modeling Fine-grained Factuality in SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tanya Goyal, Greg Durrett2021 · 216 citations
  60. Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, et al.2019 · 214 citations
  61. Content Selection in Deep Learning Models of SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Chris Kedzie, Kathleen McKeown, Hal Daumé III2018 · 214 citations
  62. Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith2019 · 209 citations
  63. Towards a Unified Multi-Dimensional Evaluator for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Zhong, Yang Liu, Da Yin, et al.2022 · 208 citations
  64. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 207 citations
  65. TL;DR: Mining Reddit to Learn Automatic SummarizationWorkshop on New Frontiers in SummarizationMichael Völske, Martin Potthast, Shahbaz Syed, et al.2017 · 204 citations
  66. CTRLsum: Towards Generic Controllable Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Junxian He, Wojciech Kryscinski, Bryan McCann, et al.2022 · 201 citations
  67. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
  68. Neural Network-Based Abstract Generation for Opinions and ArgumentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Lu Wang, Wang Ling2016 · 200 citations
  69. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
  70. Efficient and Robust Question Answering from Minimal Context over DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Victor Zhong, Richard Socher, et al.2018 · 197 citations
  71. Enhancing Factual Consistency of Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenguang Zhu, William Hinthorn, Ruochen Xu, et al.2021 · 190 citations
  72. DuoRC: Towards Complex Language Understanding with Paraphrased Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, et al.2018 · 190 citations
  73. A Dataset for Multi-Target Stance DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Parinaz Sobhani, Diana Inkpen, Xiaodan Zhu2017 · 190 citations
  74. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
  75. RealTime QA: What's the Answer Right Now?Conference on Neural Information Processing Systems (NeurIPS)Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 181 citations
  76. Planning with Learned Entity Prompts for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL)Shashi Narayan, Yao Zhao, Joshua Maynez, et al.2021 · 180 citations
  77. What Makes Reading Comprehension Questions Easier?Conference on Empirical Methods in Natural Language Processing (EMNLP)Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.2018 · 179 citations
  78. Improving Neural Language Models with a Continuous CachearXiv:1612.04426Edouard Grave, Armand Joulin, Nicolas Usunier2016 · 179 citations
  79. BillSum: A Corpus for Automatic Summarization of US LegislationWorkshop on New Frontiers in SummarizationAnastassia Kornilova, Vladimir Eidelman2019 · 175 citations
  80. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationarXiv:2210.01241Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 174 citations
  81. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningarXiv:2303.10512Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 173 citations
  82. Improving Machine Reading Comprehension with General Reading StrategiesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kai Sun, Dian Yu, Dong Yu, et al.2019 · 172 citations
  83. DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world ApplicationsarXiv:1711.05073Wei He, Kai Liu, Jing Liu, et al.2017 · 170 citations
  84. Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Meng Cao, Yue Dong, Jackie Cheung2022 · 167 citations
  85. Few-Shot Text Generation with Natural Language InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Timo Schick, Hinrich Schütze2021 · 167 citations
  86. SCROLLS: Standardized CompaRison Over Long Language SequencesConference on Empirical Methods in Natural Language Processing (EMNLP)Uri Shaham, Elad Segal, Maor Ivgi, et al.2022 · 165 citations
  87. Can We Automate Scientific Reviewing?Journal of Artificial Intelligence ResearchWeizhe Yuan, Pengfei Liu, Graham Neubig2021 · 165 citations
  88. ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationInternational Joint Conference on Artificial IntelligenceDongling Xiao, Han Zhang, Yukun Li, et al.2020 · 163 citations
  89. Multi-Fact Correction in Abstractive Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Yue Dong, Shuohang Wang, Zhe Gan, et al.2020 · 163 citations
  90. Question Answering for Privacy Policies: Combining Computational and Legal PerspectivesConference on Empirical Methods in Natural Language Processing (EMNLP)Abhilasha Ravichander, Alan W Black, Shomir Wilson, et al.2019 · 163 citations
  91. A Span-Extraction Dataset for Chinese Machine Reading ComprehensionarXiv:1810.07366 · EMNLP 2019 5886-5891Yiming Cui, Ting Liu, Wanxiang Che, et al.2018 · 160 citations
  92. Question Answering as an Automatic Evaluation Metric for News Article SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Matan Eyal, Tal Baumel, Michael Elhadad2019 · 159 citations
  93. Scoring Sentence Singletons and Pairs for Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, et al.2019 · 159 citations
  94. Reducing Quantity Hallucinations in Abstractive SummarizationFindings of the Association for Computational LinguisticsZheng Zhao, Shay B. Cohen, Bonnie Webber2020 · 157 citations
  95. Probing Pre-Trained Language Models for Cross-Cultural Differences in ValuesWorkshop on Cross-Cultural Considerations in NLPArnav Arora, Lucie-aimée Kaffee, Isabelle Augenstein2023 · 156 citations
  96. Fill in the BLANC: Human-free quality estimation of document summariesWorkshop on Evaluation and Comparison of NLP SystemsOleg Vasilyev, Vedant Dharnidharka, John Bohannon2020 · 155 citations
  97. Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer LearningFindings of the Association for Computational LinguisticsZhaojiang Lin, Andrea Madotto, Pascale Fung2020 · 152 citations
  98. HyperTree Proof Search for Neural Theorem ProvingConference on Neural Information Processing Systems (NeurIPS)Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.2022 · 151 citations
  99. Neural Models for Reasoning over Multiple Mentions Using CoreferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bhuwan Dhingra, Qiao Jin, Zhilin Yang, et al.2018 · 151 citations
  100. Discourse Parsing with Attention-based Hierarchical Neural NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Qi Li, Tianshi Li, Baobao Chang2016 · 150 citations

1 2 3 4

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/mustafa-suleyman/cited-by/page/2/