---
title: "Cornell University — works"
description: "68 works by researchers of Cornell University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/cornell-university/works/"
---
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# Works of Cornell University

68 works · the most cited first · [← Cornell University](https://md.research.elamur.ai/free/en/universities/cornell-university/)

1. [**Authoritative Sources in a Hyperlinked Environment**Jon M. Kleinberg*1999 · 9,089 citations*](https://md.research.elamur.ai/free/en/papers/kleinberg-1999-authoritative-sources-hyperlinked-environment/)
2. [**Thumbs up? Sentiment Classification using Machine Learning Techniques**Bo Pang, Lillian Lee, Shivakumar Vaithyanathan*2002 · 7,756 citations*](https://md.research.elamur.ai/free/en/papers/pang-2002-thumbs-up-sentiment-classification-machine/)
3. [**Microsoft COCO: Common Objects in Context**Tsung-Yi Lin, Michael Maire, Serge Belongie, et al.*2014 · 4,529 citations*](https://md.research.elamur.ai/free/en/papers/lin-2014-microsoft-coco-common-objects-context/)
4. [**A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts**Bo Pang, Lillian Lee*2004 · 3,842 citations*](https://md.research.elamur.ai/free/en/papers/pang-2004-sentimental-education-sentiment-analysis-subjectivity/)
5. [**Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales**Bo Pang, Lillian Lee*2005 · 2,722 citations*](https://md.research.elamur.ai/free/en/papers/pang-2005-seeing-stars-exploiting-class-relationships/)
6. [**Language (Technology) is Power: A Critical Survey of “Bias” in NLP**Su Lin Blodgett, Solon Barocas, Hal Daumé III, et al.*2020 · 1,700 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2020-language-technology-is-power-critical/)
7. [**TVM: An Automated End-to-End Optimizing Compiler for Deep Learning**Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.*2018 · 1,371 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-tvm-automated-end-end-optimizing/)
8. [**Distributional Clustering of English Words**Fernando Pereira, Naftali Tishby, Lillian Lee*1993 · 1,160 citations*](https://md.research.elamur.ai/free/en/papers/pereira-1993-distributional-clustering-english-words/)
9. [**Automated Hate Speech Detection and the Problem of Offensive Language**Thomas Davidson, Dana Warmsley, Michael Macy, et al.*2017 · 1,007 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2017-automated-hate-speech-detection-problem/)
10. [**Improving Machine Learning Approaches to Coreference Resolution**Vincent Ng, Claire Cardie*2002 · 923 citations*](https://md.research.elamur.ai/free/en/papers/ng-2002-improving-machine-learning-approaches-coreference/)
11. [**Learning to Ask: Neural Question Generation for Reading Comprehension**Xinya Du, Junru Shao, Claire Cardie*2017 · 913 citations*](https://md.research.elamur.ai/free/en/papers/du-2017-learning-ask-neural-question-generation/)
12. [**Finding Deceptive Opinion Spam by Any Stretch of the Imagination**Myle Ott, Yejin Choi, Claire Cardie, et al.*2011 · 806 citations*](https://md.research.elamur.ai/free/en/papers/ott-2011-finding-deceptive-opinion-spam-any/)
13. [**SemEval-2014 Task 10: Multilingual Semantic Textual Similarity**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2014 · 783 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-semeval-2014-task-10-multilingual/)
14. [**Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 778 citations*](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/)
15. [**SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2015 · 758 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/)
16. [**Evaluation methods for unsupervised word embeddings**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 669 citations*](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/)
17. [**Measures of Distributional Similarity**Lillian Lee*1999 · 654 citations*](https://md.research.elamur.ai/free/en/papers/lee-1999-measures-distributional-similarity/)
18. [**A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)**Alane Suhr, Stephanie Zhou, Ally Zhang, et al.*2019 · 640 citations*](https://md.research.elamur.ai/free/en/papers/suhr-2019-corpus-reasoning-natural-language-grounded/)
19. [**Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment**Regina Barzilay, Lillian Lee*2003 · 622 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2003-learning-paraphrase-unsupervised-approach-multiple/)
20. [**Event Extraction by Answering (Almost) Natural Questions**Xinya Du, Claire Cardie*2020 · 602 citations*](https://md.research.elamur.ai/free/en/papers/du-2020-event-extraction-answering-almost-natural/)
21. [**Racial Bias in Hate Speech and Abusive Language Detection Datasets**Thomas Davidson, Debasmita Bhattacharya, Ingmar Weber*2019 · 577 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2019-racial-bias-hate-speech-abusive/)
22. [**LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code**Naman Jain, King Han, Alex Gu, et al.*2024 · 540 citations*](https://md.research.elamur.ai/free/en/papers/jain-2024-livecodebench-holistic-contamination-free-evaluation/)
23. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*2020 · 520 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
24. [**Measuring Coding Challenge Competence With APPS**Dan Hendrycks, Steven Basart, Saurav Kadavath, et al.*2021 · 438 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-coding-challenge-competence-apps/)
25. [**Pay Less Attention with Lightweight and Dynamic Convolutions**Felix Wu, Angela Fan, Alexei Baevski, et al.*2019 · 416 citations*](https://md.research.elamur.ai/free/en/papers/wu-2019-pay-less-attention-lightweight-dynamic/)
26. [**Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification**Xilun Chen, Yu Sun, Ben Athiwaratkun, et al.*2018 · 393 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-adversarial-deep-averaging-networks-cross/)
27. [**Revisiting Few-sample BERT Fine-tuning**Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al.*2020 · 361 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-revisiting-few-sample-bert-fine/)
28. [**Datasets: A Community Library for Natural Language Processing**Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.*2021 · 358 citations*](https://md.research.elamur.ai/free/en/papers/lhoest-2021-datasets-community-library-natural-language/)
29. [**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/)
30. [**Averaging Weights Leads to Wider Optima and Better Generalization**Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, et al.*2018 · 355 citations*](https://md.research.elamur.ai/free/en/papers/izmailov-2018-averaging-weights-leads-wider-optima/)
31. [**FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization**Esin Durmus, He He, Mona Diab*2020 · 350 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2020-feqa-question-answering-evaluation-framework/)
32. [**DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension**Kai Sun, Dian Yu, Jianshu Chen, et al.*2019 · 331 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-dream-challenge-data-set-models/)
33. [**Entailment above the word level in distributional semantics**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 318 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/)
34. [**How many data points is a prompt worth?**Teven Le Scao, Alexander Rush*2021 · 315 citations*](https://md.research.elamur.ai/free/en/papers/scao-2021-how-many-data-points-is/)
35. [**Get out the vote: Determining support or opposition from Congressional floor-debate transcripts**Matt Thomas, Bo Pang, Lillian Lee*2006 · 307 citations*](https://md.research.elamur.ai/free/en/papers/thomas-2006-get-out-vote-determining-support/)
36. [**Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences**Bo Pang, Kevin Knight, Daniel Marcu*2003 · 289 citations*](https://md.research.elamur.ai/free/en/papers/pang-2003-syntax-based-alignment-multiple-translations/)
37. [**Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings**Han-Chin Shing, Suraj Nair, Ayah Zirikly, et al.*2018 · 288 citations*](https://md.research.elamur.ai/free/en/papers/shing-2018-expert-crowdsourced-machine-assessment-suicide/)
38. [**Sentence Alignment for Monolingual Comparable Corpora**Regina Barzilay, Noemie Elhadad*2003 · 280 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2003-sentence-alignment-monolingual-comparable-corpora/)
39. [**WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization**Faisal Ladhak, Esin Durmus, Claire Cardie, et al.*2020 · 272 citations*](https://md.research.elamur.ai/free/en/papers/ladhak-2020-wikilingua-new-benchmark-dataset-cross/)
40. [**CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/)
41. [**Conversations Gone Awry: Detecting Early Signs of Conversational Failure**Justine Zhang, Jonathan Chang, Cristian Danescu-Niculescu-Mizil, et al.*2018 · 250 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-conversations-gone-awry-detecting-early/)
42. [**Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings**Rishi Bommasani, Kelly Davis, Claire Cardie*2020 · 248 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2020-interpreting-pretrained-contextualized-representations-reductions/)
43. [**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/)
44. [**Membership Inference Attacks against Machine Learning Models**Reza Shokri, Marco Stronati, Congzheng Song, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/shokri-2016-membership-inference-attacks-against-machine/)
45. [**For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia**Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, et al.*2010 · 209 citations*](https://md.research.elamur.ai/free/en/papers/yatskar-2010-sake-simplicity-unsupervised-extraction-lexical/)
46. [**Conundrums in Noun Phrase Coreference Resolution: Making Sense of the State-of-the-Art**Veselin Stoyanov, Nathan Gilbert, Claire Cardie, et al.*2009 · 199 citations*](https://md.research.elamur.ai/free/en/papers/stoyanov-2009-conundrums-noun-phrase-coreference-resolution/)
47. [**Scalable Extraction of Training Data from (Production) Language Models**Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al.*2023 · 197 citations*](https://md.research.elamur.ai/free/en/papers/nasr-2023-scalable-extraction-training-data-production/)
48. [**Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs**Albert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.*2022 · 175 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2022-draft-sketch-prove-guiding-formal/)
49. [**DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text**Jinyan Su, Terry Zhuo, Di Wang, et al.*2023 · 172 citations*](https://md.research.elamur.ai/free/en/papers/su-2023-detectllm-leveraging-log-rank-information/)
50. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 166 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
51. [**Improving Implicit Discourse Relation Recognition Through Feature Set Optimization**Joonsuk Park, Claire Cardie*2012 · 165 citations*](https://md.research.elamur.ai/free/en/papers/park-2012-improving-implicit-discourse-relation-recognition/)
52. [**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/)
53. [**The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset**Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-bigscience-roots-corpus-1-6tb/)
54. [**ConvoKit: A Toolkit for the Analysis of Conversations**Jonathan P. Chang, Caleb Chiam, Liye Fu, et al.*2020 · 137 citations*](https://md.research.elamur.ai/free/en/papers/chang-2020-convokit-toolkit-analysis-conversations/)
55. [**Nomic Embed: Training a Reproducible Long Context Text Embedder**Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/)
56. [**Coreference Resolution with Reconcile**Veselin Stoyanov, Claire Cardie, Nathan Gilbert, et al.*2010 · 114 citations*](https://md.research.elamur.ai/free/en/papers/stoyanov-2010-coreference-resolution-reconcile/)
57. [**Partially Supervised Coreference Resolution for Opinion Summarization through Structured Rule Learning**Veselin Stoyanov, Claire Cardie*2006 · 90 citations*](https://md.research.elamur.ai/free/en/papers/stoyanov-2006-partially-supervised-coreference-resolution-opinion/)
58. [**Learning Noun Phrase Anaphoricity to Improve Conference Resolution: Issues in Representation and Optimization**Vincent Ng*2004 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ng-2004-learning-noun-phrase-anaphoricity-improve/)
59. [**Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules**Vincent Ng, Claire Cardie*2002 · 66 citations*](https://md.research.elamur.ai/free/en/papers/ng-2002-combining-sample-selection-error-driven/)
60. [**A preference semantics for imperatives**William B Starr*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/starr-2020-preference-semantics-imperatives/)
61. [**Bootstrapping Coreference Classifiers with Multiple Machine Learning Algorithms**Vincent Ng, Claire Cardie*2003 · 47 citations*](https://md.research.elamur.ai/free/en/papers/ng-2003-bootstrapping-coreference-classifiers-multiple-machine/)
62. [**Facilitating the Communication of Politeness through Fine-Grained Paraphrasing**Liye Fu, Susan Fussell, Cristian Danescu-Niculescu-Mizil*2020 · 39 citations*](https://md.research.elamur.ai/free/en/papers/fu-2020-facilitating-communication-politeness-through-fine/)
63. [**The Role of Pragmatic and Discourse Context in Determining Argument Impact**Esin Durmus, Faisal Ladhak, Claire Cardie*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2019-role-pragmatic-discourse-context-determining/)
64. [**Semantic Role Labeling as Syntactic Dependency Parsing**Tianze Shi, Igor Malioutov, Ozan Irsoy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-semantic-role-labeling-as-syntactic/)
65. [**Lions: 1 and Tigers: 2 and Bears: 3, Oh My! Literary Coreference Annotation with LLMs**Rebecca Hicke, David Mimno*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/hicke-2024-lions-1-tigers-2-bears/)
66. [**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/)
67. [**Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches**Tianze Shi, Lillian Lee*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-extracting-headless-mwes-dependency-parse/)
68. [**Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction**Tianze Shi, Lillian Lee*2021*](https://md.research.elamur.ai/free/en/papers/shi-2021-transition-based-bubble-parsing-improvements/)
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