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Frank Guerin

Frank Guerin has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Efficient models & compression; often with Chenghua Lin, Erik Cambria, Guanyi Chen.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 19 · 152 works · 1,267 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 331 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #5039

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

🎓University of SurreyGuildford · United Kingdom2019–2026 · 32 papersEmployment since 2020 · SL, Computer Sciencecurrent🎓University of AberdeenAberdeen · United Kingdom2006–2021 · 43 papers🎓Imperial College LondonLondon · United Kingdom2000–2003 · 11 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Compressing Context to Enhance Inference Efficiency of Large Language Models (2023 · 212 citations)
    Transformer LLMs become expensive in memory and latency on long inputs such as full papers or extended chats, and they may cut off text that exceeds their fixed window.
  2. GPTEval: A Survey on Assessments of ChatGPT and GPT-4 (2024 · 75 citations)
    Many separate studies have tested ChatGPT and GPT-4 on individual tasks or disciplines, but no overview had combined their findings. This survey gathers quantitative evaluations of both models and groups them by area:

All works

6 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. Compressing Context to Enhance Inference Efficiency of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yucheng Li, Bo Dong, Frank Guerin, et al.2023 · 212 citations
  2. Word Embedding and WordNet Based Metaphor Identification and Interpretation ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRui Mao, Chenghua Lin, Frank Guerin2018 · 175 citations
  3. End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetRui Mao, Chenghua Lin, Frank Guerin2019 · 149 citations
  4. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
  5. An Open Source Data Contamination Report for Large Language Models ↗arXiv:2310.17589 · no summary yetYucheng Li, Frank Guerin, Chenghua Lin2023 · 66 citations
  6. Interpreting Verbal Metaphors by Paraphrasing ↗arXiv:2104.03391 · no summary yetRui Mao, Chenghua Lin, Frank Guerin2021 · 3 citations

 Co-authors here

6 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 331 times (of the 149,439 papers whose bibliographies we read); 44 citing papers with a page here →.

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