---
title: "Princeton University — works"
description: "45 works by researchers of Princeton University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/princeton-university/works/"
---
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# Works of Princeton University

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

1. [**Dense Passage Retrieval for Open-Domain Question Answering**Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al.*2020 · 5,370 citations*](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/)
2. [**SimCSE: Simple Contrastive Learning of Sentence Embeddings**Tianyu Gao, Xingcheng Yao, Danqi Chen*2021 · 3,921 citations*](https://md.research.elamur.ai/free/en/papers/gao-2021-simcse-simple-contrastive-learning-sentence/)
3. [**SpanBERT: Improving Pre-training by Representing and Predicting Spans**Mandar Joshi, Danqi Chen, Yinhan Liu, et al.*2019 · 2,580 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2019-spanbert-improving-pre-training-representing/)
4. [**Dynamic Topic Models**David M. Blei, John D. Lafferty*2006 · 2,508 citations*](https://md.research.elamur.ai/free/en/papers/blei-2006-dynamic-topic-models/)
5. [**ReAct: Synergizing Reasoning and Acting in Language Models**Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.*2022 · 2,493 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/)
6. [**WordNet: A Lexical Database for English**George A. Miller*1994 · 2,179 citations*](https://md.research.elamur.ai/free/en/papers/miller-1994-wordnet/)
7. [**Reading Tea Leaves: How Humans Interpret Topic Models**Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.*2009 · 2,037 citations*](https://md.research.elamur.ai/free/en/papers/chang-2009-reading-tea-leaves-humans-interpret-topic/)
8. [**Making Pre-trained Language Models Better Few-shot Learners**Tianyu Gao, Adam Fisch, Danqi Chen*2021 · 1,952 citations*](https://md.research.elamur.ai/free/en/papers/gao-2021-making-pre-trained-language-models/)
9. [**Optimizing Semantic Coherence in Topic Models**David Mimno, Hanna Wallach, Edmund Talley, et al.*2011 · 1,334 citations*](https://md.research.elamur.ai/free/en/papers/mimno-2011-optimizing-semantic-coherence-topic-models/)
10. [**MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI**Xiang Yue, Yuansheng Ni, Kai Zhang, et al.*2023 · 948 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/)
11. [**ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission**Kexin Huang, Jaan Altosaar, Rajesh Ranganath*2019 · 788 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-clinicalbert-modeling-clinical-notes-predicting/)
12. [**A Frustratingly Easy Approach for Entity and Relation Extraction**Zexuan Zhong, Danqi Chen*2020 · 629 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/)
13. [**SWE-bench: Can Language Models Resolve Real-World GitHub Issues?**Carlos E. Jimenez, John Yang, Alexander Wettig, et al.*2024 · 617 citations*](https://md.research.elamur.ai/free/en/papers/jimenez-2024-swe-bench-can-language-models/)
14. [**Using Corpus Statistics and WordNet Relations for Sense Identification**Claudia Leacock, Martin Chodorow, George A. Miller*1998 · 518 citations*](https://md.research.elamur.ai/free/en/papers/leacock-1998-corpus-statistics-wordnet-relations-sense/)
15. [**Enabling Large Language Models to Generate Text with Citations**Tianyu Gao, Howard Yen, Jiatong Yu, et al.*2023 · 477 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/)
16. [**Factual Probing Is MASK: Learning vs. Learning to Recall**Zexuan Zhong, Dan Friedman, Danqi Chen*2021 · 411 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/)
17. [**MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 375 citations*](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/)
18. [**A Latent Variable Model Approach to PMI-based Word Embeddings**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2016 · 365 citations*](https://md.research.elamur.ai/free/en/papers/arora-2016-latent-variable-model-approach-pmi/)
19. [**Using a Semantic Concordance for Sense Identification**George A. Miller, Martin Chodorow, Shari Landes, et al.*1994 · 352 citations*](https://md.research.elamur.ai/free/en/papers/miller-1994-semantic-concordance-sense-identification/)
20. [**Toxicity in chatgpt: Analyzing persona-assigned language models**Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.*2023 · 344 citations*](https://md.research.elamur.ai/free/en/papers/deshpande-2023-toxicity-chatgpt-analyzing-persona-assigned/)
21. [**Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!**Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.*2023 · 331 citations*](https://md.research.elamur.ai/free/en/papers/qi-2023-fine-tuning-aligned-language-models/)
22. [**Llemma: An Open Language Model For Mathematics**Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.*2023 · 275 citations*](https://md.research.elamur.ai/free/en/papers/azerbayev-2023-llemma-open-language-model-mathematics/)
23. [**Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads**Tianle Cai, Yuhong Li, Zhengyang Geng, et al.*2024 · 271 citations*](https://md.research.elamur.ai/free/en/papers/cai-2024-medusa-simple-llm-inference-acceleration/)
24. [**A Large Self-Annotated Corpus for Sarcasm**Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli*2018 · 258 citations*](https://md.research.elamur.ai/free/en/papers/khodak-2018-large-self-annotated-corpus-sarcasm/)
25. [**Linear Algebraic Structure of Word Senses, with Applications to Polysemy**Sanjeev Arora, Yuanzhi Li, Yingyu Liang, et al.*2018 · 247 citations*](https://md.research.elamur.ai/free/en/papers/arora-2018-linear-algebraic-structure-word-senses/)
26. [**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/)
27. [**A Discrete Hard EM Approach for Weakly Supervised Question Answering**Sewon Min, Danqi Chen, Hannaneh Hajishirzi, et al.*2019 · 233 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-discrete-hard-em-approach-weakly/)
28. [**Structured Pruning Learns Compact and Accurate Models**Mengzhou Xia, Zexuan Zhong, Danqi Chen*2022 · 216 citations*](https://md.research.elamur.ai/free/en/papers/xia-2022-structured-pruning-learns-compact-accurate/)
29. [**The Prompt Report: A Systematic Survey of Prompt Engineering Techniques**Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.*2024 · 187 citations*](https://md.research.elamur.ai/free/en/papers/schulhoff-2024-prompt-report-systematic-survey-prompt/)
30. [**Adapting Language Models to Compress Contexts**Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-2023-adapting-language-models-compress-contexts/)
31. [**Investigating Cultural Alignment of Large Language Models**Badr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-investigating-cultural-alignment-large-language/)
32. [**LESS: Selecting Influential Data for Targeted Instruction Tuning**Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.*2024 · 170 citations*](https://md.research.elamur.ai/free/en/papers/xia-2024-less-selecting-influential-data-targeted/)
33. [**AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning**Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.*2023 · 170 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-adalora-adaptive-budget-allocation-parameter/)
34. [**Simple Entity-Centric Questions Challenge Dense Retrievers**Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee, et al.*2021 · 168 citations*](https://md.research.elamur.ai/free/en/papers/sciavolino-2021-simple-entity-centric-questions-challenge/)
35. [**Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation**Yangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.*2023 · 162 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-catastrophic-jailbreak-open-source-llms/)
36. [**To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning**Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.*2024 · 133 citations*](https://md.research.elamur.ai/free/en/papers/sprague-2024-cot-cot-chain-thought-helps/)
37. [**OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text**Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.*2023 · 124 citations*](https://md.research.elamur.ai/free/en/papers/paster-2023-openwebmath-open-dataset-high-quality/)
38. [**CILI: the Collaborative Interlingual Index**Francis Bond, Piek Vossen, John P. McCrae, et al.*2016 · 109 citations*](https://md.research.elamur.ai/free/en/papers/bond-2016-cili-collaborative-interlingual-index/)
39. [**Olmo 3**Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.*2025 · 109 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2025-olmo-3/)
40. [**English WordNet 2019 – An Open-Source WordNet for English**John P. McCrae, Alexandre Rademaker, Francis Bond*2019 · 55 citations*](https://md.research.elamur.ai/free/en/papers/mccrae-2019-english-wordnet/)
41. [**IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions**Ziheng Zeng, Kellen Tan Cheng, Srihari Venkat Nanniyur, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2023-iekg-commonsense-knowledge-graph-idiomatic/)
42. [**No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language Models**Kellen Tan Cheng, Suma Bhat*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2024-no-context-needed-contextual-quandary/)
43. [**The morphosyntax of aspect stacking in Northeastern Neo-Aramaic**Laura Kalin*2016 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kalin-2016-morphosyntax-aspect-stacking-northeastern-neo/)
44. [**Almieyar: A Culturally Grounded Benchmark for Multi-Dialect Arabic Speech Recognition**Omid Ghahroodi, Anas Madkoor, Dima Faris Al Saudi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ghahroodi-2026-almieyar-culturally-grounded-benchmark-multi/)
45. [**What to Make of make? Sense Distinctions for Light Verbs**Julie Kallini, Christiane Fellbaum*2023*](https://md.research.elamur.ai/free/en/papers/kallini-2023-what-make-make-sense-distinctions/)
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