4 papers
Does Every User Need a Private LoRA? Decoupling Personalization from Per-User Adaptation
Songyuan Sui, Srikanth Malla, Chiho Choi +1
Personalized large language models often require a complete adaptation state for each user. However, this paradigm scales poorly as the user population grows. We revisit this desig…
ADEPT: Adaptive Dynamic Early-Exit Process for Transformers
Sangmin Yoo, Srikanth Malla, Chiho Choi +2
The inference of large language models imposes significant computational workloads, often requiring the processing of billions of parameters. Although early-exit strategies have pr…
CAMILA: Context-Aware Masking for Image Editing with Language Alignment
Hyunseung Kim, Chiho Choi, Srikanth Malla +3
Text-guided image editing has been allowing users to transform and synthesize images through natural language instructions, offering considerable flexibility. However, most existin…
COPAL: Continual Pruning in Large Language Generative Models
Srikanth Malla, Joon Hee Choi, Chiho Choi
Adapting pre-trained large language models to different domains in natural language processing requires two key considerations: high computational demands and model's inability to…