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Mark Gales

Mark Gales has 3 papers in our library, in 2016–2024, most of them on Language models & pretraining, Text generation, Dialogue systems; often with Adian Liusie, David Vandyke, Diane Litman.

3 papers in our library · 2016–2024

OpenAlex · ORCID · h-index 53 · 567 works · 15,233 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 138 times in our library · 6 more in our library without a page yet · ⭐ Paper Star rank #4673

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 CambridgeCambridge · United Kingdom1992–2026 · 361 paperscurrent🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States1999–2002 · 8 papers🏢ToshibaWeybridge · United Kingdom2009–2014 · 6 papers🏢ToshibaTokyo · Japan2012–2014 · 5 papers🏢IBMArmonk · United States1999–2002 · 3 papers🏢Cambridge University PressCambridge · United Kingdom2023 · 2 papers🏢YandexMoscow · Russia2019–2020 · 2 papers🎓Chinese University of Hong KongHong Kong · Hong Kong2017 · 2 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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4 Artificial Intelligence · 3 works Arts and Humanities · 3 works Computer Science · 3 works Language and Linguistics · 3 works

🧭 Topics 4 Language models & pretraining · 2 works Text generation · 1 work Dialogue systems · 1 work English · 1 work

 Works by year

2020s

20242 papers

2010s

20161 paperTowards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English

 Papers

The most cited first (OpenAlex and our library).

  1. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models (2024 · 86 citations)
    Judging the quality of generated text usually depends on costly human annotation or on metrics built for a single task and attribute.
  2. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment (2024 · 85 citations)
    The paper examines whether LLMs used as zero-shot judges can be manipulated by adversaries. Judge-LLMs now grade exams and rank models on benchmarks, but their robustness to deliberate gaming had not been studied. The authors append a short universal phrase to any candidate text and test whether it inflates the score…
  3. Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English (2016 · 26 citations)
    Human-run English speaking exams usually include a live conversation with an examiner, but automated scoring has so far handled only monologue tasks, such as answering a prompt.

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language ModelsAdian Liusie, Potsawee Manakul, Mark GalesConference of the European Chapter of the Association for Computational Linguistics (EACL) · 86 citations
  2. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentVyas Raina, Adian Liusie, Mark GalesConference on Empirical Methods in Natural Language Processing (EMNLP) · 85 citations
  3. Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of EnglishDiane Litman, Steve Young, Mark Gales, et al.Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) · 26 citations
  4. Off-topic Response Detection for Spontaneous Spoken English Assessment · original ↗ · no summary yet · Proceedings of the 54th Annual Meeting of the Association for Computational…Andrey Malinin et al.2016 · 17 citations
  5. Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs · original ↗ · no summary yet · Proceedings of the 20th Workshop on Innovative Use of NLP for Building…Stefano Bannò, Kate M. Knill, Mark J. F. Gales2025 · 8 citations
  6. Speak & Improve Corpus 2025: an L2 English Speech Corpus for Language Assessment and Feedback · original ↗ · no summary yet · arXiv:2412.11986Kate Knill et al.2024 · 4 citations
  7. Speak & Improve Challenge 2025: Tasks and Baseline Systems · original ↗ · no summary yet · arXiv:2412.11985Mengjie Qian et al.2024 · 3 citations
  8. Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs · original ↗ · no summary yet · arXiv:2603.17171Stefano Banno et al.2026 · 1 citation
  9. Controlling Implicit Shortcut Reliance in L2 Spoken English Auto-markers · original ↗ · no summary yet · arXiv:2607.16085Shilin Gao, Mark J. F. Gales, Kate M. Knill2026

 Co-authors here

4 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 138 times (of the 141,840 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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