🧑‍🔬 Jeff Bilmes

🏛️ Affiliations

🎓University of WashingtonSeattle · United States1999–2025 · 199 papersEmployment since 1999 · Professor🔬International Computer Science InstituteBerkeley · United States1989–2014 · 4 papers🎓University of California, BerkeleyBerkeley · United States1997–2014 · 4 papers🎓University of Wisconsin–MadisonMadison · United States2019–2020 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2010s

2000s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Class of Submodular Functions for Document Summarization (2011 · 684 citations)
   Lin and Bilmes treat extractive multi-document summarization, both generic and query-focused, as maximizing a monotone submodular set function under a length budget. Such functions have diminishing returns. A cheap greedy procedure therefore comes with a provable constant-factor bound relative to the optimal summary.
2. Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging (2006 · 37 citations)
   The paper addresses dialog act (DA) tagging, where each sentence in a meeting gets a label such as statement, question, or back-channel.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. A Class of Submodular Functions for Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Lin, Jeff Bilmes2011 · 684 citations
2. Coresets for Data-efficient Training of Machine Learning Models ↗arXiv (Cornell University) · no summary yetBaharan Mirzasoleiman, Jeff Bilmes, Jure Leskovec2019 · 89 citations
3. Discriminative versus generative parameter and structure learning of Bayesian network classifiers ↗International Conference on Machine Learning · no summary yetFranz Pernkopf, Jeff Bilmes2005 · 68 citations
4. Backoff Model Training using Partially Observed Data: Application to Dialog Act TaggingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Gang Ji, Jeff Bilmes2006 · 37 citations
5. GRAPHICAL MODEL REPRESENTATIONS OF WORD LATTICES ↗IEEE Spoken Language Technology Workshop (SLT) · no summary yetGang Ji et al.2006 · 5 citations
6. OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities ↗arXiv (Cornell University) · no summary yetVerma, Sahil et al.2025 · 4 citations
7. MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetSahil Verma et al.2025 · 3 citations
8. Coresets for Accelerating Incremental Gradient Methods ↗no summary yetBaharan Mirzasoleiman, Jeff Bilmes, Jure Leskovec2019

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Hui Lin

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2011
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2006
• IEEE Spoken Language Technology Workshop (SLT)
• International Conference on Machine Learning
• Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 168 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated 30 October 2026

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