---
title: "MIT Computer Science and Artificial Intelligence Laboratory"
description: "45 works by researchers of MIT Computer Science and Artificial Intelligence Laboratory in our library, the most cited first."
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# Works of MIT Computer Science and Artificial Intelligence Laboratory

45 works · the most cited first · [← MIT Computer Science and Artificial Intelligence Laboratory](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/)

1. [**MIMIC-III, a freely accessible critical care database**Alistair E. W. Johnson, Tom Pollard, Lu Shen, et al.*2016 · 8,530 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2016-mimic-iii-freely-accessible-critical/)
2. [**Head-Driven Statistical Models for Natural Language Parsing**Michael Collins*2003 · 2,001 citations*](https://md.research.elamur.ai/free/en/papers/collins-2003-head-driven-statistical-models-natural/)
3. [**GLM: General Language Model Pretraining with Autoregressive Blank Infilling**Zhengxiao Du, Yujie Qian, Xiao Liu, et al.*2022 · 1,449 citations*](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/)
4. [**Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment**Di Jin, Zhijing Jin, Joey Tianyi Zhou, et al.*2019 · 1,318 citations*](https://md.research.elamur.ai/free/en/papers/jin-2019-bert-really-robust-strong-baseline/)
5. [**Linguistic Knowledge and Transferability of Contextual Representations**Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.*2019 · 1,011 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/)
6. [**Discriminative Reranking for Natural Language Parsing**Michael Collins, Terry Koo*2000 · 988 citations*](https://md.research.elamur.ai/free/en/papers/collins-2000-discriminative-reranking-natural-language-parsing/)
7. [**Rationalizing Neural Predictions**Tao Lei, Regina Barzilay, Tommi Jaakkola*2016 · 928 citations*](https://md.research.elamur.ai/free/en/papers/lei-2016-rationalizing-neural-predictions/)
8. [**Clause Restructuring for Statistical Machine Translation**Michael Collins, Philipp Koehn, Ivona Kučerová*2005 · 918 citations*](https://md.research.elamur.ai/free/en/papers/collins-2005-clause-restructuring-statistical-machine-translation/)
9. [**Modeling Local Coherence: An Entity-Based Approach**Regina Barzilay, Mirella Lapata*2008 · 912 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2008-modeling-local-coherence-entity-based/)
10. [**TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP**John X. Morris, Eli Lifland, Jin Yong Yoo, et al.*2020 · 857 citations*](https://md.research.elamur.ai/free/en/papers/morris-2020-textattack-framework-adversarial-attacks-data/)
11. [**Analysis Methods in Neural Language Processing: A Survey**Yonatan Belinkov, James Glass*2019 · 735 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2019-analysis-methods-neural-language-processing/)
12. [**Incremental Parsing with the Perceptron Algorithm**Michael Collins, Brian Roark*2004 · 568 citations*](https://md.research.elamur.ai/free/en/papers/collins-2004-incremental-parsing-perceptron-algorithm/)
13. [**Improving Factuality and Reasoning in Language Models through Multiagent Debate**Yilun Du, Shuang Li, Antonio Torralba, et al.*2023 · 564 citations*](https://md.research.elamur.ai/free/en/papers/du-2023-improving-factuality-reasoning-language-models/)
14. [**What do Neural Machine Translation Models Learn about Morphology?**Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.*2017 · 485 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/)
15. [**Large language models are few-shot clinical information extractors**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 448 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)
16. [**Analyzing the Structure of Attention in a Transformer Language Model**Jesse Vig, Yonatan Belinkov*2019 · 430 citations*](https://md.research.elamur.ai/free/en/papers/vig-2019-analyzing-structure-attention-transformer-language/)
17. [**Fine-Grained Analysis of Propaganda in News Articles**Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, et al.*2019 · 379 citations*](https://md.research.elamur.ai/free/en/papers/martino-2019-fine-grained-analysis-propaganda-news/)
18. [**Parameter-Efficient Transfer Learning with Diff Pruning**Demi Guo, Alexander Rush, Yoon Kim*2021 · 355 citations*](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/)
19. [**Predicting Factuality of Reporting and Bias of News Media Sources**Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, et al.*2018 · 334 citations*](https://md.research.elamur.ai/free/en/papers/baly-2018-predicting-factuality-reporting-bias-news/)
20. [**Paraphrasing for Automatic Evaluation**David Kauchak, Regina Barzilay*2006 · 321 citations*](https://md.research.elamur.ai/free/en/papers/kauchak-2006-paraphrasing-automatic-evaluation/)
21. [**Good-Enough Compositional Data Augmentation**Jacob Andreas*2020 · 305 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2020-good-enough-compositional-data-augmentation/)
22. [**Towards Debiasing Fact Verification Models**Tal Schuster, Darsh Shah, Yun Jie Serene Yeo, et al.*2019 · 296 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-debiasing-fact-verification-models/)
23. [**Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing**Tal Schuster, Ori Ram, Regina Barzilay, et al.*2019 · 294 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-alignment-contextual-word/)
24. [**Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence**Tal Schuster, Adam Fisch, Regina Barzilay*2021 · 289 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2021-get-your-vitamin-c-robust/)
25. [**Learning Context-Dependent Mappings from Sentences to Logical Form**Luke Zettlemoyer, Michael Collins*2009 · 246 citations*](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/)
26. [**Selective Sharing for Multilingual Dependency Parsing**Tahira Naseem, Regina Barzilay, Amir Globerson*2012 · 237 citations*](https://md.research.elamur.ai/free/en/papers/naseem-2012-selective-sharing-multilingual-dependency-parsing/)
27. [**What learning algorithm is in-context learning? Investigations with linear models**Ekin Akyürek, Dale Schuurmans, Jacob Andreas, et al.*2022 · 224 citations*](https://md.research.elamur.ai/free/en/papers/akyurek-2022-learning-algorithm-context-learning-investigations/)
28. [**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/)
29. [**LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers**Theo X. Olausson, Alex Gu, Benjamin Lipkin, et al.*2023 · 171 citations*](https://md.research.elamur.ai/free/en/papers/olausson-2023-linc-neurosymbolic-approach-logical-reasoning/)
30. [**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/)
31. [**The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition**Ahmed Ali, Peter Bell, James Glass, et al.*2016 · 154 citations*](https://md.research.elamur.ai/free/en/papers/ali-2016-mgb-2-challenge-arabic-multi/)
32. [**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/)
33. [**Universal Dependencies for Learner English**Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, et al.*2016 · 109 citations*](https://md.research.elamur.ai/free/en/papers/berzak-2016-universal-dependencies-learner-english/)
34. [**Arabic Diacritization with Recurrent Neural Networks**Yonatan Belinkov, James Glass*2015 · 93 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2015-arabic-diacritization-recurrent-neural-networks/)
35. [**Machine Comprehension with Discourse Relations**Karthik Narasimhan, Regina Barzilay*2015 · 91 citations*](https://md.research.elamur.ai/free/en/papers/narasimhan-2015-machine-comprehension-discourse-relations/)
36. [**Pragmatically Informative Text Generation**Sheng Shen, Daniel Fried, Jacob Andreas, et al.*2019 · 78 citations*](https://md.research.elamur.ai/free/en/papers/shen-2019-pragmatically-informative-text-generation/)
37. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 60 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
38. [**Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B**Jiaming Luo, Yuan Cao, Regina Barzilay*2019 · 43 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-neural-decipherment-minimum-cost-flow/)
39. [**Unsupervised Morphology Rivals Supervised Morphology for Arabic MT**David Stallard, Jacob Devlin, Michael Kayser, et al.*2012 · 30 citations*](https://md.research.elamur.ai/free/en/papers/stallard-2012-unsupervised-morphology-rivals-supervised-morphology/)
40. [**Deciphering Undersegmented Ancient Scripts Using Phonetic Prior**Jiaming Luo, Frederik Hartmann, Enrico Santus, et al.*2021 · 29 citations*](https://md.research.elamur.ai/free/en/papers/luo-2021-deciphering-undersegmented-ancient-scripts-phonetic/)
41. [**Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging**Hassan Sajjad, Fahim Dalvi, Nadir Durrani, et al.*2017 · 26 citations*](https://md.research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/)
42. [**Evaluating statistical language models as pragmatic reasoners**Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/lipkin-2023-evaluating-statistical-language-models-pragmatic/)
43. [**Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results**Yonatan Belinkov, James Glass*2016 · 14 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2016-large-scale-machine-translation-between/)
44. [**DARTS: Dialectal Arabic Transcription System**Sameer Khurana, Ahmed Ali, James Glass*2019 · 7 citations*](https://md.research.elamur.ai/free/en/papers/khurana-2019-darts-dialectal-arabic-transcription-system/)
45. [**The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank**Adam Yaari, Jan DeWitt, Henry Hu, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/yaari-2022-aligned-multimodal-movie-treebank-audio/)
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