World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
20346
World Ranking
8566
National Ranking
3662

Best Publications

  • SimCSE: Simple Contrastive Learning of Sentence Embeddings

    Unknown

  • SimCSE: Simple Contrastive Learning of Sentence Embeddings

    Unknown

  • A Fast and Accurate Dependency Parser using Neural Networks

    Danqi Chen;Christopher Manning

  • Reasoning With Neural Tensor Networks for Knowledge Base Completion

    Richard Socher;Danqi Chen;Christopher D Manning;Andrew Ng

  • Reading Wikipedia to Answer Open-Domain Questions

    Danqi Chen;Adam Fisch;Jason Weston;Antoine Bordes

  • Making Pre-trained Language Models Better Few-shot Learners

    Unknown

  • Observed versus latent features for knowledge base and text inference

    Kristina Toutanova;Danqi Chen

  • Position-aware Attention and Supervised Data Improve Slot Filling

    Yuhao Zhang;Victor Zhong;Danqi Chen;Gabor Angeli

  • Representing Text for Joint Embedding of Text and Knowledge Bases

    Kristina Toutanova;Danqi Chen;Patrick Pantel;Hoifung Poon

  • A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task

    Danqi Chen;Jason Bolton;Christopher D. Manning

  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

    Unknown

  • A Frustratingly Easy Approach for Entity and Relation Extraction.

    Unknown

  • MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

    Unknown

  • Factual Probing Is [MASK]: Learning vs. Learning to Recall.

    Unknown

  • A discrete hard EM approach for weakly supervised question answering

    Sewon Min;Danqi Chen;Hannaneh Hajishirzi;Hannaneh Hajishirzi;Luke Zettlemoyer;Luke Zettlemoyer

  • SpanBERT: Improving Pre-training by Representing and Predicting Spans

    Mandar Joshi;Danqi Chen;Yinhan Liu;Daniel S. Weld

  • Reading Wikipedia to Answer Open-Domain Questions

    Danqi Chen;Adam Fisch;Jason Weston;Antoine Bordes

  • Dense Passage Retrieval for Open-Domain Question Answering

    Vladimir Karpukhin;Barlas Oğuz;Sewon Min;Patrick Lewis

  • Should You Mask 15% in Masked Language Modeling?

    Unknown

  • Making Pre-trained Language Models Better Few-shot Learners.

    Unknown

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