3 papers
cs.CL2026
BCL: Bayesian In-Context Learning Framework for Information Extraction
Haoliang Liu, Chengkun Cai, Xu Zhao +7
Existing information extraction (IE) tasks increasingly adopt in-context learning (ICL) with large language models. However, current approaches either show inconsistent performance…
cs.LG2025
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
Yunchuan Guan, Yu Liu, Ke Zhou +8
Recent advances in generative modeling enable neural networks to generate weights without relying on gradient-based optimization. However, current methods are limited by issues of…
cs.CV2025
Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment
Lei Li, Xinglin Zhang, Jun Liang +1
Deep learning models in medical imaging face dual challenges: domain shift, where models perform poorly when deployed in settings different from their training environment, and cla…