3 papers
cs.LG2026
AutoAdapt: Automatic Domain Discovery Enables Low-Cost Extensibility
Josh McGiff, Salma Mekaoui, Robert Shanahan +1
Instruction-tuned models are deployed into environments where domains are heterogeneous and evolve, yet adding new domains or data typically requires costly retraining. We present…
cs.CL2026
SemiAdapt-Instruct: Extensible Instruction Tuning via Latent Domain-Specialised Adapters
Josh McGiff, Salma Mekaoui, Robert Shanahan +1
Instruction-tuned LLMs are deployed into environments where domains evolve, yet extending a fine-tuned model's capabilities without full retraining remains an unsolved practical ch…
cs.CL2025
Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models
Salma Mekaoui, Hiba Sofyan, Imane Amaaz +4
Extracting topics from text has become an essential task, especially with the rapid growth of unstructured textual data. Most existing works rely on highly computational methods to…