Seth Spielman

Director and Principal Scientist, Core Search and AI

出版物

表示方法:

- Large Language Models Can Accurately Predict Searcher Preferences
  
  Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
  
  2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
  
  An earlier version of this paper appeared as arXiv preprint arXiv:2309.10621v1 [cs.IR].
  
  Publication PDF PDF
- What Matters in a Measure? A Perspective from Large-Scale Search Evaluation
  
  Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman
  
  2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
  
  Best paper nomination
  
  DOI PDF
- Segmentation using large language models: A new typology of American neighborhoods
  
  Alex D. Singleton, Seth Spielman
  
  EPJ Data Science | April 2024, 巻13: pp. 1-21
  
  DOI Publication Publication
- Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index
  
  S. Spielman, Joseph V. Tuccillo, D. Folch, A. Schweikert, Rebecca Davies, Nathan Wood, Eric Tate, Seth Spielman
  
  Natural Hazards | December 2019
  
  DOI

- Large Language Models Can Accurately Predict Searcher Preferences
  
  Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
  
  2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
  
  An earlier version of this paper appeared as arXiv preprint arXiv:2309.10621v1 [cs.IR].
  
  Publication PDF PDF
- Segmentation using large language models: A new typology of American neighborhoods
  
  Alex D. Singleton, Seth Spielman
  
  EPJ Data Science | April 2024, 巻13: pp. 1-21
  
  DOI Publication Publication
- Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index
  
  S. Spielman, Joseph V. Tuccillo, D. Folch, A. Schweikert, Rebecca Davies, Nathan Wood, Eric Tate, Seth Spielman
  
  Natural Hazards | December 2019
  
  DOI
- Segmentation using large language models: A new typology of American neighborhoods
  
  Alex D. Singleton, Seth Spielman
  
  EPJ Data Science | April 2024, 巻13: pp. 1-21
  
  DOI Publication Publication
- Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index
  
  S. Spielman, Joseph V. Tuccillo, D. Folch, A. Schweikert, Rebecca Davies, Nathan Wood, Eric Tate, Seth Spielman
  
  Natural Hazards | December 2019
  
  DOI
- What Matters in a Measure? A Perspective from Large-Scale Search Evaluation
  
  Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman
  
  2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
  
  Best paper nomination
  
  DOI PDF
- Large Language Models Can Accurately Predict Searcher Preferences
  
  Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
  
  2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
  
  An earlier version of this paper appeared as arXiv preprint arXiv:2309.10621v1 [cs.IR].
  
  Publication PDF PDF

- Segmentation using large language models: A new typology of American neighborhoods
  
  Alex D. Singleton, Seth Spielman
  
  EPJ Data Science | April 2024, 巻13: pp. 1-21
  
  DOI Publication Publication
- Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index
  
  S. Spielman, Joseph V. Tuccillo, D. Folch, A. Schweikert, Rebecca Davies, Nathan Wood, Eric Tate, Seth Spielman
  
  Natural Hazards | December 2019
  
  DOI
- What Matters in a Measure? A Perspective from Large-Scale Search Evaluation
  
  Paul Thomas, Gabriella Kazai, Nick Craswell, Seth Spielman
  
  2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
  
  Best paper nomination
  
  DOI PDF
- Large Language Models Can Accurately Predict Searcher Preferences
  
  Paul Thomas, Seth Spielman, Nick Craswell, Bhaskar Mitra
  
  2024 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2024
  
  An earlier version of this paper appeared as arXiv preprint arXiv:2309.10621v1 [cs.IR].
  
  Publication PDF PDF

Seth Spielman

出版物

Large Language Models Can Accurately Predict Searcher Preferences

What Matters in a Measure? A Perspective from Large-Scale Search Evaluation

Segmentation using large language models: A new typology of American neighborhoods

Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index

Large Language Models Can Accurately Predict Searcher Preferences

Segmentation using large language models: A new typology of American neighborhoods

Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index

Segmentation using large language models: A new typology of American neighborhoods

Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index

What Matters in a Measure? A Perspective from Large-Scale Search Evaluation

Large Language Models Can Accurately Predict Searcher Preferences

Segmentation using large language models: A new typology of American neighborhoods

Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index

What Matters in a Measure? A Perspective from Large-Scale Search Evaluation

Large Language Models Can Accurately Predict Searcher Preferences