---
title: "Amazon — works"
description: "55 works by researchers of Amazon in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/companies/amazon/works/"
---
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# Works of Amazon

55 works · the most cited first · [← Amazon](https://md.research.elamur.ai/free/en/companies/amazon/)

1. [**Array Programming with NumPy**Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.*2020 · 23,591 citations*](https://md.research.elamur.ai/free/en/papers/harris-2020-array-programming-numpy/)
2. [**FEVER: a Large-scale Dataset for Fact Extraction and VERification**James Thorne, Andreas Vlachos, Christos Christodoulopoulos, et al.*2018 · 2,205 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fever-large-scale-dataset-fact/)
3. [**Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,548 citations*](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/)
4. [**SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,109 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2019-semeval-2019-task-6-identifying/)
5. [**Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond**Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.*2023 · 806 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/)
6. [**Automatic Chain of Thought Prompting in Large Language Models**Zhuosheng Zhang, Aston Zhang, Mu Li, et al.*2022 · 688 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-automatic-chain-thought-prompting-large/)
7. [**BAE: BERT-based Adversarial Examples for Text Classification**Siddhant Garg, Goutham Ramakrishnan*2020 · 665 citations*](https://md.research.elamur.ai/free/en/papers/garg-2020-bae-bert-based-adversarial-examples/)
8. [**Large Language Models: A Survey**Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.*2024 · 467 citations*](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/)
9. [**Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference**Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/falke-2019-ranking-generated-summaries-correctness-interesting/)
10. [**Masked Language Model Scoring**Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.*2020 · 444 citations*](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/)
11. [**Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation**Matt Post, David Vilar*2018 · 437 citations*](https://md.research.elamur.ai/free/en/papers/post-2018-fast-lexically-constrained-decoding-dynamic/)
12. [**DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning**Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al.*2018 · 388 citations*](https://md.research.elamur.ai/free/en/papers/popat-2018-declare-debunking-fake-news-false/)
13. [**How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks**Divyansh Kaushik, Zachary C. Lipton*2018 · 361 citations*](https://md.research.elamur.ai/free/en/papers/kaushik-2018-how-much-reading-does-reading/)
14. [**The Fact Extraction and VERification (FEVER) Shared Task**James Thorne, Andreas Vlachos, Oana Cocarascu, et al.*2018 · 322 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fact-extraction-verification-fever-shared/)
15. [**Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering**Zhiguo Wang, Patrick Ng, Xiaofei Ma, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/)
16. [**DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines**Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/khattab-2023-dspy-compiling-declarative-language-model/)
17. [**The Multilingual Amazon Reviews Corpus**Phillip Keung, Yichao Lu, György Szarvas, et al.*2020 · 255 citations*](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/)
18. [**Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual**He He, Sheng Zha, Haohan Wang*2019 · 254 citations*](https://md.research.elamur.ai/free/en/papers/he-2019-unlearn-dataset-bias-natural-language/)
19. [**A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models**S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.*2024 · 246 citations*](https://md.research.elamur.ai/free/en/papers/tonmoy-2024-comprehensive-survey-hallucination-mitigation-techniques/)
20. [**Training Neural Machine Translation to Apply Terminology Constraints**Georgiana Dinu, Prashant Mathur, Marcello Federico, et al.*2019 · 242 citations*](https://md.research.elamur.ai/free/en/papers/dinu-2019-training-neural-machine-translation-apply/)
21. [**Better Document-level Sentiment Analysis from RST Discourse Parsing**Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein*2015 · 235 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2015-better-document-level-sentiment-analysis/)
22. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
23. [**Entity-level Factual Consistency of Abstractive Text Summarization**Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.*2021 · 204 citations*](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/)
24. [**SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)**Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.*2022 · 190 citations*](https://md.research.elamur.ai/free/en/papers/malmasi-2022-semeval-2022-task-11-multilingual/)
25. [**Integrating Stance Detection and Fact Checking in a Unified Corpus**Ramy Baly, Mitra Mohtarami, James Glass, et al.*2018 · 186 citations*](https://md.research.elamur.ai/free/en/papers/baly-2018-integrating-stance-detection-fact-checking/)
26. [**LawBench: Benchmarking Legal Knowledge of Large Language Models**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.*2023 · 184 citations*](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/)
27. [**MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition**Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.*2022 · 181 citations*](https://md.research.elamur.ai/free/en/papers/malmasi-2022-multiconer-large-scale-multilingual-dataset/)
28. [**A neural interlingua for multilingual machine translation**Yichao Lu, Phillip Keung, Faisal Ladhak, et al.*2018 · 178 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/)
29. [**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/)
30. [**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/)
31. [**Automatic Stance Detection Using End-to-End Memory Networks**Mitra Mohtarami, Ramy Baly, James Glass, et al.*2018 · 156 citations*](https://md.research.elamur.ai/free/en/papers/mohtarami-2018-automatic-stance-detection-end-end/)
32. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/)
33. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
34. [**SCOTT: Self-Consistent Chain-of-Thought Distillation**Peifeng Wang, Zhengyang Wang, Zheng Li, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-scott-self-consistent-chain-thought/)
35. [**SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects**David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2023-sib-200-simple-inclusive-big/)
36. [**Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/)
37. [**Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric**Giorgos Vernikos, Brian Thompson, Prashant Mathur, et al.*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/vernikos-2022-embarrassingly-easy-document-level-mt/)
38. [**The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue**Sopan Khosla, Juntao Yu, Ramesh Manuvinakurike, et al.*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/khosla-2021-codi-crac-2021-shared-task/)
39. [**EPIC: Multi-Perspective Annotation of a Corpus of Irony**Simona Frenda, Alessandro Pedrani, Valerio Basile, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/frenda-2023-epic-multi-perspective-annotation-corpus/)
40. [**PropBank Comes of Age—Larger, Smarter, and more Diverse**Sameer Pradhan, Julia Bonn, Skatje Myers, et al.*2022 · 41 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2022-propbank-comes-age-larger-smarter/)
41. [**Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains**Vilém Zouhar, Shuoyang Ding, Anna Currey, et al.*2024 · 32 citations*](https://md.research.elamur.ai/free/en/papers/zouhar-2024-fine-tuned-machine-translation-metrics/)
42. [**A Multitask Learning Approach for Diacritic Restoration**Sawsan Alqahtani, Ajay Mishra, Mona Diab*2020 · 28 citations*](https://md.research.elamur.ai/free/en/papers/alqahtani-2020-multitask-learning-approach-diacritic-restoration/)
43. [**MultiPICo: Multilingual Perspectivist Irony Corpus**Silvia Casola, Simona Frenda, Soda Marem Lo, et al.*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/casola-2024-multipico-multilingual-perspectivist-irony-corpus/)
44. [**An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)**Laurie Burchell, Ona de Gibert, Nikolay Arefyev, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/burchell-2025-expanded-massive-multilingual-dataset-high/)
45. [**Sequential Cross-Document Coreference Resolution**Emily Allaway, Shuai Wang, Miguel Ballesteros*2021 · 22 citations*](https://md.research.elamur.ai/free/en/papers/allaway-2021-sequential-cross-document-coreference-resolution/)
46. [**Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues**Shachi Paul, Rahul Goel, Dilek Hakkani-Tur*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/paul-2019-towards-universal-dialogue-act-tagging/)
47. [**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/)
48. [**The Universal Anaphora Scorer**Juntao Yu, Sopan Khosla, Nafise Sadat Moosavi, et al.*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-universal-anaphora-scorer/)
49. [**Dual Cache for Long Document Neural Coreference Resolution**Qipeng Guo, Xiangkun Hu, Yue Zhang, et al.*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-dual-cache-long-document-neural/)
50. [**Improving Arabic Diacritization by Learning to Diacritize and Translate**Brian Thompson, Ali Alshehri*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2022-improving-arabic-diacritization-learning-diacritize/)
51. [**Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data**Fahad AlGhamdi, Mona Diab*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/)
52. [**Contrastive Representation Learning for Cross-Document Coreference Resolution of Events and Entities**Benjamin Hsu, Graham Horwood*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/hsu-2022-contrastive-representation-learning-cross-document/)
53. [**GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution**Danfeng Guo, Arpit Gupta, Sanchit Agarwal, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-gravl-bert-graphical-visual-linguistic/)
54. [**Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic**Soumajyoti Sarkar, Kaixiang Lin, Sailik Sengupta, et al.*2022 · 5 citations*](https://md.research.elamur.ai/free/en/papers/sarkar-2022-parameter-data-efficient-continual-pre/)
55. [**Rhetorical Questions in LLM Representations: A Linear Probing Study**Louie Hong Yao, Vishesh Anand, Yuan Zhuang, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yao-2026-rhetorical-questions-llm-representations-linear/)
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