2 papers
cs.LG2026
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA
Mind Lab, :, Vin Bo +74
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
PACE: Two-Timescale Self-Evolution for Small Language Model Agents
Chen Ling, Pei Chen, Albert Guan +4
Deploying language-model agents in production often requires substantial compute and human effort to tune prompts, parsers, validators, and other components of the agent pipeline.…