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Ondrej Bohdal

Ondrej Bohdal has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Mete Ozay, Timothy M. Hospedales.

2 papers in our library · 2024–2026

OpenAlex · h-index 5 · 51 works · 125 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 264 times in our library · ⭐ Paper Stars ranking: #8732

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

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

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models (2024 · 60 citations)
    Vision large language models (VLLMs) are usually built by fine-tuning an already safety-aligned LLM on vision-language instruction data.
  2. K-Merge: Online Continual Merging of Adapters for On-device Large Language Models (2026 · 2 citations)
    On-device LLMs often depend on task-specific LoRA adapters, but phones have limited storage. New adapters also tend to arrive one at a time as users ask for new features. The authors formalize this as online continual merging . A device may keep at most K adapters. Each incoming single-task LoRA must be either placed…

 Co-authors here

2 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 264 times (of the 149,439 papers whose bibliographies we read); 95 citing papers with a page here →.

Updated

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