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Chris Kedzie

Chris Kedzie has 2 papers in our library, in 2018–2024, most of them on Language models & pretraining, Summarization; often with Benjamin Van Durme, Corby Rosset, Hal Daumé III.

2 papers in our library · 2018–2024

OpenAlex · h-index 8 · 27 works · 414 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 125 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #4943

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Columbia UniversityNew York · United States2015–2024 · 18 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Summarization · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Content Selection in Deep Learning Models of Summarization (2018 · 214 citations)
    Neural extractive summarizers are widely used, but it is unclear which signals they actually rely on when choosing summary sentences.
  2. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts (2024 · 88 citations)
    Using LLMs as automatic judges of text is cheap and scalable, but their ratings often diverge from human ones.

All works

5 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. Content Selection in Deep Learning Models of SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Chris Kedzie, Kathleen McKeown, Hal Daumé III2018 · 214 citations
  2. LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Helia Hashemi, Jason Eisner, Corby Rosset, et al.2024 · 88 citations
  3. Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetChris Kedzie, Kathleen McKeown2020 · 22 citations
  4. An analysis of document graph construction methods for AMR summarization ↗arXiv:2111.13993 · no summary yetFei-Tzin Lee et al.2021 · 11 citations
  5. Low Level Linguistic Controls for Style Transfer and Content Preservation ↗Proceedings of the 12th International Conference on Natural Language Generation · no summary yetKaty Gero et al.2019 · 10 citations

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 125 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/chris-kedzie/