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.
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
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Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 work
Works by year
2020s
Papers
- 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. - 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…
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