3 papers
cs.LG2026
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA
Mind Lab, :, Vin Bo +80
Macaron-V1 is an open agent-model family for experiential intelligence: learning from experience in real environments and continuing to learn after deployment. It is organized arou…
cs.LG2026
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
Mind Lab, :, Vin Bo +64
Parameter-efficient fine-tuning (PEFT) is usually treated as a cheaper alternative to full fine-tuning. We study a broader role: small trainable adapters as persistent local state…
cs.CR2024
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
Jianghao Gong, Peiqi Yan, Yue Zhang +2
In the domain of large language models, considerable advancements have been attained in multimodal large language models and explainability research, propelled by the continuous te…