Taha Ceritli
4 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(14)
Top co-authors
Research topics
Keywords
model merging
(3)
large language model
(2)
low-rank adaptation
(2)
parameter-efficient fine-tuning
(2)
parameter efficiency
(1)
parameter generation
(1)
language model fine-tuning
(1)
performance degradation
(1)
decentralized learning
(1)
low-rank adapter
(1)
adapter merging
(1)
on-device deployment
(1)
storage efficiency
(1)
hybrid data
(1)
model compression
(1)
model atla
(1)
federated learning
(1)
continual learning
(1)
variance reduction
(1)
Papers
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
WACV 2026
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
ACL 2026
HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging
EMNLP 2025
A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune
EMNLP 2024