World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
19824
World Ranking
1510
National Ranking
786

Overview

Hannaneh Hajishirzi is affiliated with the University of Washington in the United States. Their research focuses predominantly on computer science, with a considerable volume of work in artificial intelligence and computer vision and pattern recognition. Additional areas of study include information systems, molecular biology, and radiology, nuclear medicine and imaging.

The scientist's research topics cover various aspects within their fields, such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Speech and Dialogue Systems
  • Text Readability and Simplification
  • Machine Learning and Data Classification

Hajishirzi has published extensively in a range of venues, notably:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Some of the recent papers include:

  • Robust fine-tuning of zero-shot models, 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping, 2020, published on arXiv (Cornell University)
  • Cross-Task Generalization via Natural Language Crowdsourcing Instructions, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Generated Knowledge Prompting for Commonsense Reasoning, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Collaborative work features frequent partnerships with several researchers including:

  • Yejin Choi
  • Noah A. Smith
  • Luke Zettlemoyer
  • Sewon Min
  • Akari Asai

Best Publications

  • Bidirectional Attention Flow for Machine Comprehension

    Min Joon Seo;Aniruddha Kembhavi;Ali Farhadi;Hannaneh Hajishirzi

  • Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

    Unknown

  • ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

    Sachin Mehta;Mohammad Rastegari;Anat Caspi;Linda G. Shapiro

  • Self-Instruct: Aligning Language Models with Self-Generated Instructions

    Unknown

  • Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

    Yi Luan;Luheng He;Mari Ostendorf;Hannaneh Hajishirzi

  • Entity, Relation, and Event Extraction with Contextualized Span Representations

    David Wadden;Ulme Wennberg;Yi Luan;Hannaneh Hajishirzi

  • UNIFIEDQA: Crossing Format Boundaries with a Single QA System

    Daniel Khashabi;Sewon Min;Tushar Khot;Ashish Sabharwal

  • ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network

    Sachin Mehta;Mohammad Rastegari;Linda Shapiro;Hannaneh Hajishirzi

  • Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

    Jesse Dodge;Gabriel Ilharco;Roy Schwartz;Ali Farhadi

  • Robust fine-tuning of zero-shot models

    Mitchell Wortsman;Gabriel Ilharco;Mike Li;Jong Wook Kim

  • A general framework for information extraction using dynamic span graphs

    Yi Luan;Dave Wadden;Luheng He;Amy Shah

  • Evaluating Models’ Local Decision Boundaries via Contrast Sets

    Matt Gardner;Yoav Artzi;Victoria Basmov;Jonathan Berant

  • Learning to Solve Arithmetic Word Problems with Verb Categorization

    Mohammad Javad Hosseini;Hannaneh Hajishirzi;Oren Etzioni;Nate Kushman

  • Fact or fiction: Verifying scientific claims

    David Wadden;Shanchuan Lin;Kyle Lo;Lucy Lu Wang

  • When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

    Unknown

  • Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics

    Swabha Swayamdipta;Roy Schwartz;Nicholas Lourie;Yizhong Wang

  • Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

    Akari Asai;Kazuma Hashimoto;Hannaneh Hajishirzi;Richard Socher

  • Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension

    Aniruddha Kembhavi;Minjoon Seo;Dustin Schwenk;Jonghyun Choi

  • Cross-Task Generalization via Natural Language Crowdsourcing Instructions

    Swaroop Mishra;Daniel Khashabi;Chitta Baral;Hannaneh Hajishirzi

  • Parsing Algebraic Word Problems into Equations

    Rik Koncel-Kedziorski;Hannaneh Hajishirzi;Ashish Sabharwal;Oren Etzioni

  • MAWPS: A Math Word Problem Repository

    Rik Koncel-Kedziorski;Subhro Roy;Aida Amini;Nate Kushman

  • A Diagram is Worth a Dozen Images

    Aniruddha Kembhavi;Mike Salvato;Eric Kolve;Min Joon Seo

  • MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

    Aida Amini;Saadia Gabriel;Peter Lin;Rik Koncel-Kedziorski

Frequent Co-Authors

Ali Farhadi
Ali Farhadi University of Washington
Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Mari Ostendorf
Mari Ostendorf University of Washington
Yejin Choi
Yejin Choi Stanford University
Matt Gardner
Matt Gardner Allen Institute for Artificial Intelligence
Noah A. Smith
Noah A. Smith University of Washington
Oren Etzioni
Oren Etzioni University of Washington
Linda G. Shapiro
Linda G. Shapiro University of Washington
Kenton Lee
Kenton Lee Google (United States)
Jonathan Berant
Jonathan Berant Tel Aviv University

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