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Ioannis Patras

Ioannis Patras has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Zhaohan Zhang, Ziquan Liu, Chao Shen.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 47 · 320 works · 13,062 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #11121

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

🎓Queen Mary University of LondonLondon · United Kingdom2007–2026 · 269 papersEmployment since 2007 · Professor of Computer Vision and Human Sensing, School of Electronic Engineering and Computer Sciencecurrent🎓University of LondonLondon · United Kingdom2007–2021 · 29 papers🎓Delft University of TechnologyDelft · Netherlands2001–2006 · 12 papersEducation · PhD, Electronic Engingeering🎓University of AmsterdamAmsterdam · Netherlands2002–2007 · 7 papers🎓University of YorkYork · United Kingdom2005–2007 · 6 papers🔬Centre for Research and Technology HellasThessaloniki · Greece2017–2025 · 3 papers🎓University of CreteRethymno · Greece1996–1997 · 3 papers🎓University of Hong KongPok Fu Lam · China2014 · 2 papers🎓University of TwenteEnschede · Netherlands2009–2010 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

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

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization (2025 · 7 citations)
    Large language models can reproduce training passages word for word, which creates privacy and copyright risks.
  2. Confidence Should Be Calibrated More Than One Turn Deep (2026 · 3 citations)
    Research on LLM confidence calibration has mostly looked at single-turn question answering. Real deployments, however, involve dialogues where users push back. The authors define multi-turn calibration : confidence must match accuracy at every turn, given the conversation history. They introduce ECE@T , which…
  3. GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models (2026)
    Eliciting confidence from LLMs is costly when it requires a second evaluation pass or an auxiliary model, and verbalized confidence tends to be vague and overconfident.

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

Updated

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