Ondrej Bohdal
13 papers · 2021–2026 · 8 venues · across top CS/AI venues
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model merging
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parameter-efficient fine-tuning
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few-shot learning
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large language model
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on-device deployment
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low-rank adapter
(3)
multi-task learning
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hyperparameter optimization
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compositional multi-tasking
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model compression
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low-rank adaptation
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on-device inference
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visual question answering
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gradient-based optimization
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Papers
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
ACL 2026
Efficient Compositional Multi-tasking for On-device Large Language Models
EMNLP 2025
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging
EMNLP 2025
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation
ICCV 2025
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
WACV 2025
On-device System of Compositional Multi-tasking in Large Language Models
EMNLP 2025
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
ICLR 2025
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
ICLR 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
ICML 2024
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
CVPR 2023
PASHA: Efficient HPO and NAS with Progressive Resource Allocation
ICLR 2023
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
NeurIPS 2021