2026
FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models
ICLR 2026poster
Bidirectional language models (LMs) consistently show stronger context understanding than unidirectional models, yet the theoretical reason remains unclear. We present a simple information bottleneck (IB) perspective: bidirectional representations preserve more mutual information (MI) about both the…