2 papers
cs.AI2026
ATLAS: A Multi-LLM Training Framework for EvoDPO with Adaptive Reference Evolution
Ujin Jeon, Jiyong Kwon, Madison Ann Sullivan +2
Recent multi-LLM agent systems have shown promising capabilities for automated problem-solving, yet they predominantly rely on frozen agents or static fine-tuning pipelines. To add…
cs.LG2025
Deep Modeling of Non-Gaussian Aleatoric Uncertainty
Aastha Acharya, Caleb Lee, Marissa D'Alonzo +3
Deep learning offers promising new ways to accurately model aleatoric uncertainty in robotic state estimation systems, particularly when the uncertainty distributions do not confor…