World's Best Scientists 2026 revealed!

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Computer Science

D-Index
81
Citations
23299
World Ranking
1037
National Ranking
551

Overview

Jamie Callan is affiliated with Carnegie Mellon University in the United States. Their academic work is focused primarily within the field of Computer Science, with particular emphasis on Artificial Intelligence and its applications. The main areas of study include Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications, and Management Science and Operations Research.

Their research covers several topics related to language processing, machine learning, and information retrieval. Key themes in their work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Information Retrieval and Search Behavior
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Expert finding and Q&A systems

Some notable recent publications by Jamie Callan include:

  • "Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval," 2022, published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Document Representation and Query Expansion Models for Blog Recommendation," 2021, appearing in Proceedings of the International AAAI Conference on Web and Social Media
  • "PAL: Program-aided Language Models," 2022, available on arXiv (Cornell University)
  • "Complementing Lexical Retrieval with Semantic Residual Embedding," 2020, also published on arXiv (Cornell University)
  • "ClueWeb22: 10 Billion Web Documents with Rich Information," 2022, from Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Frequent co-authors collaborating with Jamie Callan include:

  • Luyu Gao
  • Zhuyun Dai
  • Chenyan Xiong
  • Zhen Fan
  • Bruno Martins

Their work has been published in a variety of venues, ranging from highly visible conferences to preprint archives. Frequent publication venues are:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Lecture Notes in Computer Science

Best Publications

  • Searching distributed collections with inference networks

    James P. Callan;Zhihong Lu;W. Bruce Croft

  • Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval

    William Hersh;Jamie Callan;Yoelle Maarek;Mark Sanderson

  • The INQUERY Retrieval System

    James P. Callan;W. Bruce Croft;Stephen M. Harding

  • Training algorithms for linear text classifiers

    David D. Lewis;Robert E. Schapire;James P. Callan;Ron Papka

  • Searching distributed collections with inference networks

    Unknown

  • Novelty and redundancy detection in adaptive filtering

    Yi Zhang;Jamie Callan;Thomas Minka

  • DISTRIBUTED INFORMATION RETRIEVAL

    Jamie Callan

  • End-to-End Neural Ad-hoc Ranking with Kernel Pooling

    Chenyan Xiong;Zhuyun Dai;Jamie Callan;Zhiyuan Liu

  • Query-based sampling of text databases

    Jamie Callan;Margaret Connell

  • Deeper Text Understanding for IR with Contextual Neural Language Modeling

    Zhuyun Dai;Jamie Callan

  • Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding

    Chenyan Xiong;Russell Power;Jamie Callan

  • Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search

    Zhuyun Dai;Chenyan Xiong;Jamie Callan;Zhiyuan Liu

  • Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

    Unknown

  • Combining document representations for known-item search

    Paul Ogilvie;Jamie Callan

  • PAL: Program-aided Language Models

    Unknown

  • A statistical model for scientific readability

    Luo Si;Jamie Callan

  • COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List

    Unknown

  • Relevant document distribution estimation method for resource selection

    Luo Si;Jamie Callan

  • The effect multiple query representations on information retrieval system performance

    Nicholas J. Belkin;C. Cool;W. Bruce Croft;James P. Callan

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • Content-based retrieval in hybrid peer-to-peer networks

    Jie Lu;Jamie Callan

  • Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts

    Michael Heilman;Kevyn Collins-Thompson;Jamie Callan;Maxine Eskenazi

  • Effective retrieval with distributed collections

    Jinxi Xu;Jamie Callan

  • Predicting reading difficulty with statistical language models

    Kevyn Collins-Thompson;Jamie Callan

Frequent Co-Authors

Luo Si
Luo Si Alibaba Group (China)
Kevyn Collins-Thompson
Kevyn Collins-Thompson University of Michigan–Ann Arbor
Mark Sanderson
Mark Sanderson RMIT University
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
William W. Cohen
William W. Cohen Carnegie Mellon University
W. Bruce Croft
W. Bruce Croft University of Massachusetts Amherst
Maxine Eskenazi
Maxine Eskenazi Carnegie Mellon University
Charles L. A. Clarke
Charles L. A. Clarke University of Waterloo
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Fabio Crestani
Fabio Crestani Universita della Svizzera Italiana

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