People (85) Authors with a page here who worked or studied at Princeton University: first those whose cited work was done most here; beside each, their citations.
David M. Blei 2005–2021 on 109 papers · employment (Wikidata) 4 papers here · 37 495 citations Danqi Chen current · 2019–2026 on 109 papers 21 papers here · 27 842 citations Aakanksha Chowdhery 2016–2018 on 7 papers · employment (Wikidata) 4 papers here · 14 200 citations Karthik Narasimhan current · 2017–2026 on 94 papers · employment (ORCID) · employment (Wikidata) 8 papers here · 7 724 citations Jinhyuk Lee 2020–2023 on 6 papers 3 papers here · 13 042 citations Shunyu Yao 2019–2025 on 18 papers 6 papers here · 6 787 citations Tianyu Gao 2020–2025 on 16 papers 3 papers here · 7 219 citations George A. Miller 1960–2009 on 43 papers 4 papers here · 3 049 citations Yuanzhi Li 2015–2018 on 32 papers 7 papers here · 6 432 citations Tengyu Ma 2011–2018 on 27 papers 5 papers here · 4 664 citations All 85 people →
Works on this site (45) The most cited first (OpenAlex citations plus our library's).
Dense Passage Retrieval for Open-Domain Question Answering Vladimir Karpukhin, Barlas Oguz, Sewon Min, et al. 2020 · 5 370 citations SimCSE: Simple Contrastive Learning of Sentence Embeddings Tianyu Gao, Xingcheng Yao, Danqi Chen 2021 · 3 921 citations SpanBERT: Improving Pre-training by Representing and Predicting Spans Mandar Joshi, Danqi Chen, Yinhan Liu, et al. 2019 · 2 580 citations Dynamic Topic Models David M. Blei, John D. Lafferty 2006 · 2 508 citations ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao, Jeffrey Zhao, Dian Yu, et al. 2022 · 2 493 citations WordNet: A Lexical Database for English George A. Miller 1994 · 2 179 citations Reading Tea Leaves: How Humans Interpret Topic Models Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al. 2009 · 2 037 citations Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao, Adam Fisch, Danqi Chen 2021 · 1 952 citations Optimizing Semantic Coherence in Topic Models David Mimno, Hanna Wallach, Edmund Talley, et al. 2011 · 1 334 citations MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI Xiang Yue, Yuansheng Ni, Kai Zhang, et al. 2023 · 948 citations All 45 works →
Topics What its works here are about; the number is its works on the topic.
🧠 Language models & pretraining14 🧮 Reasoning7 ❓ Question answering3 🛡️ Bias, fairness & safety3 🧷 Idioms & multiword expressions3 📏 Evaluation & benchmarks2 🐪 Semitic languages2 🔍 Information retrieval & search2 🔗 Coreference resolution1 🔀 Word sense disambiguation1 🔎 Information extraction1 😊 Sentiment & emotion1 🎙️ Speech & spoken language1 📖 Lexical semantics & word embeddings1 🕸️ Knowledge graphs & ontologies1
4 more topics 🕎 Hebrew & Aramaic1 🔬 Interpretability1 🖼️ Vision & language1 🪶 Efficient models & compression1
Fields: Natural language processing (16) · Linguistics & languages (9) · AI & machine learning (6) · Computing & GPUs (6) · Mathematics & statistics (3) · Machine translation (1)
Collaborates with Institutions on the bylines of the same works here; the number is the works they share.
Google3 Stanford University4 Google DeepMind1 Meta3 Carnegie Mellon University7 Microsoft3 University of California, Berkeley1 OpenAI1 University of Washington8 Tsinghua University1 New York University2 Allen Institute for Artificial Intelligence5
Parent and units Units Center for Discrete Mathematics and Theoretical Computer Science Princeton Plasma Physics Laboratory
Related Princeton University Press
From the Research Organization Registry (ROR); those with a page here are linked.
Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Princeton University; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.
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